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Snowflake SnowPro Core Certification Guide COF-C02Hands-on exam preparation with practice questions

2024Description Snowflake, a revolutionary cloud data warehouse platform, has gained immense popularity due to its scalability, performance, and ease of use. This comprehensive guide is designed with the knowledge and skills necessary to pass the SnowPro Core Certification exam and excel in the world of Snowflake. Prepare for the SnowPro Core Certification with this all-inclusive guide. Understand Snowflake’s architecture, data types, and security features while mastering virtual warehouse management. Learn essential data movement strategies and performance optimization techniques like caching and clustering, and explore the latest Snowflake features. This guide includes mock tests and expert advice to help you confidently tackle the certification exam. You will gain a solid understanding of Snowflake’s unique strengths, including its ability to manage both structured and semi-structured data, secure information, and optimize performance for complex tasks. By the end of this book, you will be well-prepared to tackle the SnowPro Core Certification exam with confidence. You will have a solid grasp of Snowflake's fundamentals, be able to write efficient SQL queries, optimize performance, and implement best practices for data security and governance.Key Features ? Covers all essential SnowPro Core Certification topics. ? Includes real-world scenarios and use cases. ? Reflects the latest Snowflake features and best practices. ? Includes practice tests to prepare for the certification.What you will learn ? SnowPro Core Certification overview, including subject area/domain breakdown. ? Essential tips to prepare and pass the exam. ? Snowflake’s fundamentals to advanced key concepts outlined in the SnowPro Certification. ? Industry best practices and recommendations on various key concepts. ? SnowPro Core Certification sample practice questions to test the overall knowledge.Who this book is for This book is for current and aspiring emerging data professionals, data/solution architects, data engineers, database administrators, data analysts, data scientists, and anyone who wants to explore and learn about the modern data cloud platform. Table of Contents 1. SnowPro Core Certification 2. The Cloud Data Platform 3. Snowflake Cloud Data Platform Features 4. Snowflake Tools and User Interfaces 5. Snowflake Catalogs and Objects 6. Snowflake Account Access 7. Snowflake Security 8. Snowflake Virtual Warehouse and Warehouse Management 9. Snowflake Performance Management 10. Snowflake Data Loading and Unloading 11. Snowflake Data Transformations 12. Snowflake Data Protection 13. Snowflake Data Sharing 14. Snowflake Latest Additions 15. Snowflake Knowledge Test

Fun with Data Analysis and BIReal-world applications of analytical techniques

Sethi, Nitin

2024Description Fun with Data Analysis and BI teaches you how to turn raw data into actionable insights using business intelligence tools. It equips you with essential skills to make data-driven decisions and effectively communicate findings. This book is designed to guide you through learning SQL from the ground up. Starting with installation and environment setup, it covers everything from building databases and creating tables to mastering SQL queries. Alongside theoretical concepts, you will engage in hands-on projects that demonstrate practical applications, including market analysis using Python to track stock trends and churn analysis to understand customer behavior. Each chapter concludes with MCQs to test your knowledge. The book also introduces you to Tableau, a powerful tool for creating visualizations without writing code, with step-by-step instructions on how to use it for your data projects. By the end of this book, you will be equipped with the skills to extract valuable insights from complex datasets, visualize data in compelling ways, and make data-driven decisions that positively impact your organization. Key Features ? In-depth coverage of SQL, Python, ML, and Tableau for all skill levels. ? Hands-on projects to transform raw information into valuable data insights. ? Practical examples and end-to-end solutions for mastering data science concepts.What you will learn ? Install and set up SQL environments, create databases, develop tables, and write effective SQL queries. ? Use Python to analyze stock market data, create clusters, and support data-driven decisions. ? Apply ML to understand consumer behavior, predict churn, and improve retention. ? Design striking data visuals with Tableau, enhancing data presentation skills without coding. ? Gain hands-on experience by working on complete projects, from data preparation to final output.Who this book is for Whether you are a business analyst, data scientist, or aspiring data professional, this book provides the essential knowledge and practical guidance to excel in the field of data analysis.Table of Contents 1. E-Ticket Booking 2. Creating Games on Python 3. Introduction to Sentiment Analysis 4. Sentiment Analysis on E-Commerce: Product Reviews 5. Sentiment Analysis on X 6. Stroke Prediction 7. Movie Review Sentiment Analysis 8. Stock Market Data Analysis 9. Customer Data Analysis 10. Analyzing Sports Data in Tableau 11. Office Supplies Dashboard Using Tableau 12. COVID Dashboard Using Tableau

Modern Python Programming using ChatGPT10x your software development skills with Python

Gopalakrishnan, Shivakumar

2024Description Modern Python Programming using ChatGPT is your essential guide to leveraging Artificial Intelligence to streamline and enhance your Python development workflow across the entire software development lifecycle (SDLC). This book covers every stage, from requirements gathering and design to implementation, testing, security, deployment, and observability, demonstrating how ChatGPT can be of invaluable assistance throughout. Learn how to use ChatGPT to break down features into stories, design, and architect software, implement AI-generated code snippets, write clean and maintainable code, test and secure applications, deploy efficiently, and monitor performance. This comprehensive guide shows you how to integrate ChatGPT seamlessly into every stage of your Python projects. Discover how ChatGPT can automate repetitive tasks, generate high-quality code snippets, provide instant debugging tips, and ensure your code adheres to industry standards and best practices. This book provides thorough coverage of the latest trends and best practices in Python development, equipping you with the tools to write clean, maintainable, and robust code. Through practical examples and hands-on exercises, you will learn how to apply ChatGPT in real-world scenarios, making your development process more efficient and productive. Key Features ? Supercharge the entire SDLC using ChatGPT's AI-driven insights. ? Seamlessly integrate ChatGPT into every stage of your Python projects. ? Practical, real-world examples and hands-on exercises.What you will learn ? To seamlessly integrate ChatGPT from coding to deployment to monitoring. ? Use ChatGPT to gather and document software requirements. ? Break down features into stories with ChatGPT assistance. ? Design, architect, and implement clean, maintainable code using AI-generated snippets. ? Test, secure, and deploy applications with AI support. ? Optimize performance and monitor software using ChatGPT.Who this book is for This book is for Python developers of all experience levels who want to enhance their entire software development process using AI. Basic knowledge of Python is assumed, but detailed instructions are provided to help you integrate ChatGPT into your projects effectively.Table of Contents 1. ChatGPT and Its Capabilities 2. Benefits of Using ChatGPT in Python Development 3. Setting up ChatGPT for Python Development 4. Requirements Gathering 5. Design and Architecture 6. Implementing a Software Product 7. Pull Review and Commit Messages 8. Using ChatGPT for Coding with SOLID Principles 9. Software Testing with ChatGPT in Python 10. Deployment with ChatGPT 11. Performance and Observability 12. Revolutionary Impact of ChatGPT 13. Limitations, Pitfalls and Dangers of ChatGPT 14. Preparing for the Future with ChatGPT

Learning Azure API ManagementA beginner's guide to creating and managing APIs

Sinha, Naman

2024Description Azure API Management is a powerful platform that facilitates developers and organizations to create, manage, and secure APIs. This book will guide you through the entire API lifecycle, from designing and developing APIs to publishing, managing, and securing them. This guide to Azure API Management offers a detailed exploration of the platform, covering everything from basic concepts to advanced features. It teaches you how to create, manage, and secure APIs, including topics like API products, subscriptions, versions, policies, security, and user management. Filled with practical examples and hands-on exercises, it is perfect for developers and IT professionals aiming to build and manage reliable APIs using Azure. The step-by-step instructions and clear explanations make it easy to master Azure API Management and achieve your API development goals. With a focus on practical application, this guide goes beyond theory, giving you the tools and knowledge you need to tackle real-world challenges. By the end of this book, you will be equipped with the skills to build and manage robust APIs that drive business success, making it an essential resource for anyone working in today's API-driven landscape.Key Features ? Learn the basics of digital infrastructure, including cloud computing, Microsoft Azure, and REST APIs. ? Build web APIs from scratch and use Microsoft Azure API Management to deploy and secure them. ? Get a practical, example-based guide for understanding the full API development process.What you will learn ? Build and deploy a simple web API in .NET Core and Azure. ? Set up an enterprise-grade API ecosystem, scale efficiently, and manage large APIs using the infrastructure and deployment options. ? Monitor APIs using the monitoring section's crucial insights about API performance and usage. ? Safe updates and transparent API evolution using the versions and revisions feature. ? Ensure secure, consistent, and efficient API behavior using policies.Who this book is for This book is geared towards Azure developers, DevOps engineers, backend engineers, and anyone interested in building, managing, and securing APIs on the Azure platform. Whether you are a seasoned professional or just starting your journey in API management, this book provides the knowledge and skills you need to succeed.Table of Contents 1. Introduction to Azure 2. API Overview 3. Introduction to Azure API Management 4. Building My First API 5. APIM in Focus: Navigating the Basics 6. APIs and Products 7. Users, Groups and Subscriptions 8. Versions and Revisions 9. Policies 10. Monitoring 11. Infrastructure and Deployment 12. Security and Automation

Competitive Coding for Learners in C++From basics to brilliance in simple steps

Mittal, Dr. Ankush

2024Description C++ is a powerful language essential for logic building and competitive programming. It demands a solid grasp of data structures and algorithms to excel in coding challenges. This book is the perfect guide to help you confidently navigate this path. This book is meticulously crafted to make the fundamentals of C++ programming accessible and engaging for learners at all levels. This book starts with basic programming concepts like variables, operators, and control flow to build a solid foundation. It then covers arrays, focusing on efficient memory management and manipulation. Loop structures, including nested loops, are also explained in detail in this book for handling iterative processes and pattern recognition. Further, Recursion is introduced for advanced problem-solving, along with optimization strategies. The book finishes with string manipulation for text processing and performance optimization techniques. In this book, you'll find exercises like output-based questions, error identification, and multiple-choice questions to test your knowledge. Each chapter also includes practical programming problems to enhance your skills. Take the time to absorb the concepts, tackle the challenges, and enjoy the process of crafting elegant solutions to complex problems. Let this book be your companion on your journey to becoming a proficient C++ programmer. Happy coding!Key Features ? Simplified explanations for complex C++ concepts. ? Logical progression from basics to advanced topics. ? Variety of challenges like output, error, and multiple-choice questions. ? Practical programming problems for hands-on experience.What you will learn ? Master the fundamentals of C++ programming. ? Understand and apply advanced C++ concepts. ? Develop strong problem-solving skills. ? Write efficient and error-free code. ? Debug and optimize C++ programs. ? Tackle complex programming challenges.Who this book is for This book is ideal for beginners with no programming experience and intermediate programmers looking to deepen their C++ knowledge. It’s also a valuable resource for experienced coders aiming to refine their skills and tackle advanced C++ concepts.Table of Contents 1. Introduction to General Concepts 2. Single Loop 3. Single Loop: Advanced 4. 1D Arrays 5. Advanced Arrays 6. Nested Loops 7. Series and Patterns 8. Advanced Patterns and Sequences 9. Strings 10. Recursion 11. 2D Array

Native Desktop Applications with .NET 8Build cross-platform apps using .NET MAUI, Blazor Hybrid, and Native UI

Kumar Koona, Sai

2024Description Microsoft recently released .NET 8, a fresh and exciting release with lots of new features and performance enhancements. In this book, we will cover several frameworks such as WinForms, WPF, Windows App SDK, Blazor, and MAUI. This book will begin with a tour of the .NET technology, including its versions and support. You will also discover how .NET evolved into a unified development platform and be introduced to a variety of desktop frameworks. The upcoming chapter will be devoted exclusively to discussing the new features and improvements in .NET 8, together with the features that are now available in the C# 12 version. Since we now have a solid grasp of .NET 8, we can get started in chapter three by using the .NET Command Line Interface (CLI) commands to create new projects and solutions. We will study this by examining several desktop application frameworks from chapters 4 to 8. The following two chapters will cover a variety of application design patterns and best practices. Upon completion, readers will have a thorough understanding of various native desktop application development techniques, as well as the most recent C# features and how they integrate into existing design approaches.Key Features ? Learn about the new features of .NET 8 and C# 12, and using them in programming. ? Learn how to create numerous native desktop applications with .NET 8. ? Understand application architectural topics such as microservices, gRPC, design patterns, and best practices.What you will learn ? Familiarize yourself with new features and improvements in .NET 8, together with the features that are now available in the C# 12 version. ? Understanding CLI commands and creating projects using them. ? Using Windows Forms, WPF, and Windows App SDK concepts along with real-time use-cases. ? Understanding how mobile apps can be built using the .NET MAUI platform. ? Achieve the potential of the Blazor framework along with new changes and features introduced since .NET 8. ? Exploring various architecture and design patterns along with best practices.Who this book is for This book is for software developers, UI/UX designers, and .NET enthusiasts seeking to create cutting-edge desktop applications, as this book provides the essential knowledge and practical guidance to excel in .NET 8 desktop development.Table of Contents 1. Introduction to .NET 8 2. Exploring .NET 8’s Features 3. Working with Command Line Interface 4. Working with Windows Forms 5. Working with Windows Presentation Foundation 6. Working with Multi-platform App UI 7. Working with Windows App SDK 8. Working with Blazor 9. Application Architecture 10. Best Practices

Building Intelligent Applications with Generative AIExplore the potential of AI for next gen applications

Ramhorry, Yattish

2024Description Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways.Key Features ? Learn the fundamentals of generative AI and the practical usage of prompt engineering. ? Gain hands-on experience in building generative AI applications. ? Learn to use tools like LangChain, LangSmith, and FlowiseAI to create intelligent applications and AI chatbots.What you will learn ? Understand generative AI (GAI) and large language models (LLMs). ? Explore real-world GAI applications across industries. ? Build intelligent applications with the ChatGPT API. ? Explore retrieval augmented generation with LangChain and Gemini Pro. ? Create chatbots with LangChain and Streamlit for data retrieval.Who this book is for This book is for developers, data scientists, AI practitioners, and tech enthusiasts who are interested in leveraging generative AI techniques to build intelligent applications across various domains.Table of Contents 1. Exploring the World of Generative AI 2. Use Cases for Generative AI Applications 3. Mastering the Art of Prompt Engineering 4. Integrating Generative AI Models into Applications 5. Emerging Trends and the Future of Generative AI 6. Building Intelligent Applications with the ChatGPT API 7. Retrieval Augmented Generation with Gemini Pro 8. Generative AI Applications with Gradio 9. Visualize your Data with LangChain and Streamlit 10. Building LLM Applications with Llama 2 11. Building an AI Document Chatbot with Flowise AI 12. Best Practices for Building Applications with Generative AI 13. Ethical Considerations of Generative AI

MySQL Cookbook100+ recipes for database development and administration in MySQL

Negrin, Elias

2024Description MySQL Cookbook – MySQL is a popular open-source database, and SQL is the top language for querying, creating, and managing data in databases. Developers and administrators widely use it for general and specific applications. MySQL powers business IT applications like CRM and ERP, APIs, web and e-commerce platforms, database management, data analytics, and increasingly, big data and data science projects. It starts with MySQL Workbench for beginners and moves to MySQL Shell for advanced scripting. Learn data redundancy, disaster recovery, and server connections in various languages. Core functions like SELECT, JOINs, INSERT, UPDATE, and DELETE are explained. Explore string, date, and time functions, sorting, stored procedures, triggers, and data manipulation. Finally, it covers user management, backups, performance, and security best practices. By the end of this book, you will be adept at interacting with MySQL databases, crafting efficient queries, and confidently managing your data for optimal performance and security. Key Features ? Gain confidence and skills to solve data problems with hands-on MySQL exercises. ? Learn practical MySQL skills by solving common database issues. ? Connect to servers, issue queries, retrieve data, and manage MySQL tasks.What you will learn ? Connect to a server, issue queries, and retrieve results from MySQL Server. ? Store, retrieve, and manipulate strings and work with dates and times. ? Sort query results and generate aggregations. ? Use stored routines, triggers, and scheduled events. ? Perform basic MySQL administration tasks and monitoring fundamentals.Who this book is for Whether you are a developer, an administrator, a faculty member teaching databases, or a student aiming to enhance your skills, this book provides valuable insights and hands-on knowledge to tackle database-related questions and problems effectively.Table of Contents 1. Using the MySQL Client Program 2. Using MySQL Shell 3. Using MySQL Replication 4. Writing MySQL-based Programs 5. Querying Data from Tables: Tables Management 6. Working with Strings 7. Working with Dates and Times 8. Sorting Query Results 9. Using Stored Routines, Triggers, and Scheduled Events 10. Importing and Exporting Data 11. Validating and Reformatting Data 12. Generating and Using Sequences 13. Working with JSON 14. Server Administration 15. Monitoring the Database Server and Security

Chaos Engineering with GoBuilding resilient systems through controlled chaos

Kumar Khandelwal, Kapil Garg, Mohit

2024Description Chaos Engineering with Go is your essential guide to building resilient systems. In today's complex distributed environments, ensuring system reliability is paramount. By introducing controlled chaos into your systems, you can identify weaknesses and fortify them before they become critical failures. This book explores chaos engineering, offering a complete guide to building resilient systems. Starting with basic concepts and Go programming, it moves to chaos engineering topics like fault tolerance, fault injection, and chaos testing. Readers will learn to design and run chaos experiments using various tools and techniques. The book highlights the importance of monitoring and observability to understand system behavior. It includes practical case studies and best practices, ending with an in-depth look at security chaos engineering and emerging technologies. This book also emphasizes implementing observability practices within chaos engineering workflows, enhancing your ability to reduce downtime and improve system reliability. With a keen focus on best practices and lessons learned, this book equips readers with the knowledge and tools needed to embrace chaos, ensuring robust and reliable systems in an ever-evolving digital landscape. Key Features ? Master the core concepts and unique principles of chaos engineering. ? Resilience patterns for unstoppable microservices. ? Hands-on chaos experiments for real-world resilience.What you will learn ? Grasp fundamental concepts and principles of chaos engineering. ? Implement fault tolerance and resilience patterns using Go. ? Design and execute effective chaos experiments to test system resilience. ? Utilize cutting-edge tools for chaos testing and fault injection. ? Integrate observability practices into chaos engineering workflows. ? Apply security chaos engineering and learn from real-world case studies.Who this book is for The book caters to both beginners and experienced professionals interested in enhancing system integrity and reducing downtime. Ideal for site reliability engineers (SREs), DevOps engineers, enterprise architects, tech professionals, and college students.Table of Contents 1. Exploring the Essence of Chaos Engineering 2. Chaos Engineering Concepts 3. Revision with Go 4. Fault Tolerance and Resilience Patterns 5. Chaos Fault Injection Techniques 6. Chaos Testing Tools 7. Chaos Experiment Design 8. Chaos with Emerging Tech Stack 9. Essence of Observability in Distributed System 10. Observability in Chaos Engineering 11. Security Chaos Engineering Overview 12. Case Studies: Chaos Engineering in Action 13. Best Practices and Lessons Learned

Think in Recursion in Algorithmic ProgrammingWrite recursive computer algorithms to solve complex problems

Jin, Dr. Fang

2024Description Recursion, a fundamental programming concept, empowers developers to solve complex problems elegantly and efficiently. However, excelling at recursion can be challenging due to its counterintuitive nature. This book is your comprehensive guide to understanding and applying recursion in your programming journey. This book is a complete guide to understanding recursion, starting from the basics and moving to more complex topics. It explains what recursion is and how it is different from iteration, using easy examples like calculating the factorial of a number, raising numbers to a power, and the Fibonacci sequence. The book then goes into more advanced topics like backtracking, dynamic programming, and tree traversal. It shows how to break big problems into smaller, manageable parts and how to make solutions faster with memoization. Real-world examples like the knapsack problem and finding the shortest path in a network are included. By the end of this book, readers will have a strong grasp of recursion, understanding not just how it works but also its practical applications. They will learn about Big O notation, which is crucial for evaluating the performance and efficiency of algorithms. Additionally, they will become familiar with function stacks, which play a vital role in understanding how recursive calls are managed in memory. Key Features ? Master recursion fundamentals and apply them to real-world problems. ? Explore advanced recursion techniques and optimization strategies. ? Gain hands-on experience with practical recursion examples.What you will learn ? Understand the basics of recursive algorithms and their nature. ? Learn to plan, write, and stop recursion with boundary conditions. ? Analyze recursive algorithm efficiency using Big O notation. ? Differentiate between classical recursion and backtracking techniques. ? Optimize recursion with memorization to improve performance.Who this book is for The target audience for this book includes any programmer or engineer from diverse professional or academic backgrounds. This book can also be resourceful for anyone who wants to take programming industry job interviews, where often some basic recursive questions are asked to be solved quickly on site. Table of Contents 1. Introduction 2. What is Recursion? 3. Recursion as the Architect 4. Factorial and Power 5. Fibonacci Sequence 6. Climbing Stairs 7. Edit Distance 8. Paint Bucket 9. Permutation 10. Knapsack 0/1 11. Eight Queens 12. Finding Path 13. Tree Traversal 14. Shortest Route

Full Stack Development with Angular and Spring BootBuild scalable, responsive, and dynamic enterprise-level web applications

Joshi, Sangeeta

2024Description Full Stack Development with Angular and Spring Boot is your essential toolkit for creating dynamic, high-performance web applications. This book bridges the gap between frontend and backend development, providing a practical understanding of both domains. This book provides a comprehensive guide to building full stack web applications with Angular and Spring Boot. It starts with basic Angular concepts like components, templates, and dependency injection, then moves on to advanced topics such as RxJS, routing, and forms. The backend section covers Spring Boot, Spring web, and Spring Data JPA for creating robust APIs and handling database interactions. It emphasizes testing, and best practices. Combining both frontend and backend technologies, this book helps developers build efficient, scalable, and maintainable web applications. By the end of this book, you will be proficient in both Angular and Spring Boot, capable of developing end-to-end full stack applications from scratch.Key Features ? Learn to build full stack web applications using Angular for the front end and Spring Boot with Java for the backend. ? Core features of Angular and Spring Boot, mastering components, services, routing, RESTful APIs, and database interactions. ? Learn basic to advanced concepts with examples and hands-on exercises.What you will learn ? Learn Angular basics and build dynamic user interfaces. ? Efficiently develop single-page applications using Angular. ? Create seamless user experiences with Angular Router. ? Handle asynchronous operations effectively using RxJS. ? Build secure RESTful APIs and manage databases with Spring Boot and Spring Data JPA.Who this book is for This book is for web developers, software engineers, and students aspiring to become full stack developers. This book will also help the entry level developers who want to make their career in Java full stack, Angular and Spring Boot.Table of Contents 1. Single Page Application Architecture 2. Angular Building Blocks 3. Components In-Depth 4. Services and Dependency Injection 5. RxJS Observables 6. Routing and Navigation 7. Forms in Angular 8. HTTP-client Service 9. Angular Modules and Standalone Components 10. Signals NgRx Introduction and Testing 11. Enterprise Application Architecture 12. Spring Core/DI-IOC 13. Spring MVC 14. Spring Boot 15. Spring REST 16. Spring Data JPA 17. Testing, Best Practices and Project

Executing Salesforce ProjectsHow to successfully execute any Salesforce project

Nimbaji Nikam, Shamli

2024Description Salesforce, a powerful CRM platform, offers immense potential for businesses but requires skillful project execution to unlock its full value. For Salesforce professionals who want to improve their project management abilities, "Executing Salesforce Projects" is an indispensable reference. Every stage of the Salesforce project implementation process is covered in this comprehensive guide, from setup and planning, to deployment and post-launch optimization. It offers views on best practices for integration, techniques for customization, and successful stakeholder engagement. The book gives readers the tools they need to navigate complicated project issues and maximize the return on their Salesforce investments. It does this by providing step-by-step instructions and practical recommendations for different project phases, including project discovery sessions, development, testing, UAT, preparing for deployment, post-deployment support, training, and process optimizations. This book is perfect for project managers, IT professionals, and business analysts since it explains how to successfully apply theoretical knowledge to real-world situations in the context of any Salesforce project.Key Features ? Covers all project phases, from requirements to post-deployment support. ? Offers professional advice, insider tips, and strategies for successful Salesforce deployment. ? Useful for students, Salesforce professionals, architects, leads, project managers, and business analysts.What you will learn ? Understand Salesforce project factors and key considerations for project managers. ? Learn foundational Salesforce knowledge, including object formation, relationships, and key terminologies. ? Configure sales and Service Cloud, set project goals, and understand the importance of Salesforce AppExchange. ? Master data migration strategies, quality assurance types, and integration with external systems. ? Develop tailored training approaches, execute deployment plans, and provide post-deployment support.Who this book is for The purpose of this book is to assist architects, business analysts, project leads, and managers of Salesforce projects. This book is a great resource for professionals who are thinking about switching to Salesforce. Professionals or students learning project management techniques can benefit from this book. Table of Contents 1. Introduction to Salesforce 2. Project Planning and Preparation 3. SalesforceConfigurationandCustomization 4. Data Migration and Integration 5. Testing and Quality Assurance 6. User Training and Adoption 7. Deployment and Post-Implementation Case Study: Streamlining Online Subscription Renewal for SaaS Products at Nikam's

Oracle Cloud InfrastructureBuild cloud-native applications with Oracle Cloud Infrastructure (OCI)

Kumar, Vijay

2024Description Public and enterprise clouds have forever changed the way enterprises build their applications. With access to seemingly unlimited resources, compute, and storage capacity businesses have started building and delivering application solutions at a never seen before pace. This book introduces the reader to OCI and many enterprise grade cloud-native services that OCI offers to businesses to help them build and enhance cloud-native applications to match the ever evolving customer requirements. The book begins with the basics of cloud computing and OCI, then moves to advanced topics like infrastructure as code, containers, Kubernetes, and serverless computing. Readers will learn to build and deploy scalable, resilient applications using OCI’s cloud-native services. The book also covers API management, event-driven architectures, and data solutions. With insights into no-code development and AI services, this guide helps developers leverage OCI to create innovative and efficient applications. The book is written in a manner that readers at every stage of their cloud learning path can benefit from the material and implement the knowledge gained with real world applications.Key Features ? Understand the basics of OCI. ? Introduction to cloud-native applications, their benefits and architecture. ? Utilize OCI cloud-native services to build applications for the cloud – in the cloud.What you will learn ? Master OCI fundamentals, including IaaS, PaaS, and SaaS. ? Build cloud-native applications using Docker, Kubernetes, and serverless architecture. ? Effectively manage infrastructure with IaC, APIs, and event-driven patterns. ? Leverage AI, ML, and data solutions on OCI. ? Accelerate development with low-code/no-code tools and optimize application performance.Who this book is for The book is designed for students, application developers, architects and DevOps engineers who either are already familiar with cloud-native applications and cloud services or are just getting started on their cloud journey.Table of Contents 1. Oracle Cloud Infrastructure: Overview and Getting Started 2. Introduction to Cloud-Native Applications 3. Cloud-Native Services in Oracle Cloud Infrastructure 4. Infrastructure as Code with OCI 5. Containers and Container Instances in OCI 6. OCI Container Registry 7. OCI Container Engine for Kubernetes 8. Serverless with OCI Functions 9. APIs and OCI API Gateway 10. OCI Events and Streaming Service 11. Low Code/No Code Platform in OCI 12. AI Services for Developers 13. Database Solutions Overview for Developers

High-Performance Algorithmic Trading Using AIStrategies and insights for developing cutting-edge trading algorithms

R. Baranasooriya, Melick

2024Description "High-Performance Algorithmic Trading using AI" is a comprehensive guide designed to empower both beginners and experienced professionals in the finance industry. This book equips you with the knowledge and tools to build sophisticated, high-performance trading systems. It starts with basics like data preprocessing, feature engineering, and ML. Then, it moves to advanced topics, such as strategy development, backtesting, platform integration using Python for financial modeling, and the implementation of AI models on trading platforms. Each chapter is crafted to equip readers with actionable skills, ranging from extracting insights from vast datasets to developing and optimizing trading algorithms using Python's extensive libraries. It includes real-world case studies and advanced techniques like deep learning and reinforcement learning. The book wraps up with future trends, challenges, and opportunities in algorithmic trading. Become a proficient algorithmic trader capable of designing, developing, and deploying profitable trading systems. It not only provides theoretical knowledge but also emphasizes hands-on practice and real-world applications, ensuring you can confidently navigate and leverage AI in your trading strategies. Key Features ? Master AI and ML techniques to enhance algorithmic trading strategies. ? Hands-on Python tutorials for developing and optimizing trading algorithms. ? Real-world case studies showcasing AI applications in diverse trading scenarios.What you will learn ? Develop AI-powered trading algorithms for enhanced decision-making and profitability. ? Utilize Python tools and libraries for financial modeling and analysis. ? Extract actionable insights from large datasets for informed trading decisions. ? Implement and optimize AI models within popular trading platforms. ? Apply risk management strategies to safeguard and optimize investments. ? Understand emerging technologies like quantum computing and blockchain in finance.Who this book is for This book is for financial professionals, analysts, traders, and tech enthusiasts with a basic understanding of finance and programming. Table of Contents 1. Introduction to Algorithmic Trading and AI 2. AI and Machine Learning Basics for Trading 3. Essential Elements in AI Trading Algorithms 4. Data Processing and Analysis 5. Simulating and Testing Trading Strategies 6. Implementing AI Models with Trading Platforms 7. Getting Prepared for Python Development 8. Leveraging Python for Trading Algorithm Development 9. Real-world Examples and Case Studies 10. Using LLMs for Algorithmic Trading 11. Future Trends, Challenges, and Opportunities

Mastering Zero-knowledge ProofsPractical study of security, scalability, and privacy in blockchain and modern systems

Dua, Dr. Amit Kumar, Gaurav

2024Description "Mastering Zero-knowledge Proofs" is your ultimate guide to blockchain and ZKPs. It connects blockchain's core elements, like distributed ledgers and smart contracts, to ZKPs' advanced privacy solutions, emphasizing their significance in today's digital world, and provides a robust understanding of how these cryptographic techniques can revolutionize security and privacy in various applications. In this book, you will explore the basics of blockchain and ZKPs. You will gain technical skills like group theory and elliptic curve cryptography. Each chapter covers practical applications of ZKPs in blockchain systems, addressing challenges, ongoing research, and real-world use cases across industries like healthcare and finance. You will find detailed explanations of SNARKs, STARKs, and PLONK, along with practical guidance on constructing and implementing these non-interactive proofs. You will learn about innovative solutions, zero-knowledge virtual machines, ZK-Rollups, and ZK-EVM, along with a step-by-step guide for building and deploying these technologies. By the end of this book, you will have a solid understanding of Zero-knowledge Proofs and their applications in blockchain development. You will be equipped to implement privacy-preserving solutions, enhancing security and efficiency in your projects, making you a competent contributor in the evolving blockchain space.Key Features ? In-depth exploration of Zero-knowledge Proof concepts and applications. ? Practical insights into implementing ZKP in real-world systems. ? Comprehensive coverage from blockchain basics to advanced cryptography. What you will learn ? Understand the fundamentals of Zero-knowledge Proofs and blockchain. ? Construct and implement SNARKs, STARKs, and PLONK proofs. ? Apply Zero-knowledge Proofs to enhance security and privacy in applications. ? Utilize zero-knowledge virtual machines and ZK-Rollups. ? Integrate ZK-EVM into Ethereum for scalable solutions. ? Identify and overcome challenges in Zero-knowledge Proofs.Who this book is for This book is ideal for blockchain developers, security professionals, and researchers with a foundational understanding of cryptography and blockchain technology.Table of Contents 1. Introduction to Blockchain Technology 2. Introduction to Zero-knowledge Proofs 3. Introduction to SNARKS 4. SNARK Construction: Non-interactive Proof Building 5. Advanced SNARK Paradigms and Techniques 6. SNARK versus STARK 7. SNARKs In-depth and PLONK 8. Zero-Knowledge Virtual Machines 9. ZK-Rollups: Scalability Meets Privacy 10. Conceptualizing ZK-EVM in Ethereum 11. ZK Swaps: Revolutionizing Decentralized Exchanges 12. Zero-Knowledge Identity 13. Challenges and Limitations of Zero-knowledge Proofs 14. Ongoing Research and Development in Zero-knowledge Proofs 15. Real-world Applications of Zero-knowledge Proofs

Microsoft Intune AdministrationLearning Intune concepts and migrating endpoint devices from SCCM (English Edition)

Bangia, Manish

2024Description This book is outlined in a way that will help the readers learn the concepts of Microsoft Intune from scratch, covering the basic terminologies used. It aims to start your Intune journey in the most efficient way to build your career and help you upscale existing skills. It not only covers the best practices of Microsoft Intune but also co-management and migration strategy for Configuration Manager. Readers will understand the workload feature of SCCM and learn how to create a strategy to move the workload steadily. The book includes all practical examples of deploying applications, updates, and policies, and a comparison of the same with on-premises solutions including SCCM/WSUS/Group Policy, etc. Troubleshooting aspects of Intune-related issues are also covered. The readers will be able to implement effective solutions to their organization the right way after reading the book. They will become confident with device management and further expand their career into multiple streams based upon the solid foundation.Key Features ? Understanding the basics and setting up environment for Microsoft Intune. ? Optimizing device performance with Endpoint analytics. ? Deploying applications, updates, policies, etc., using Intune.What you will learn ? Microsoft Intune basics and terminologies. ? Setting up Microsoft Intune and integration with on-premises infrastructure. ? Device migration strategy to move away from on-premises to cloud solution. ? Device configuration policies and settings. ? Windows Autopilot configuration, provisioning, and deployment. ? Reporting and troubleshooting for Intune-related tasks.Who this book is for This book targets IT professionals, particularly those managing devices, including system administrators, cloud architects, and security specialists, looking to leverage Microsoft Intune for cloud-based or hybrid device management.Table of Contents 1. Introduction to the Course 2. Fundamentals of Microsoft Intune 3. Setting up and Configuring Intune 4. Device Enrollment Method 5. Preparing Infrastructure for On-premises Infra with SCCM 6. Co-management: Migration From SCCM to Intune 7. Explore Device Management Features 8. Configure Windows Update for Business 9. Application Management 10. Configure Policies and Settings 11. Windows Autopilot 12. Device Management and Protection 13. Securing Device 14. Reporting and Monitoring 15. Endpoint Analytics 16. Microsoft Intune Suite and Advance Settings 17. Troubleshooting

AWS Certified Security - Specialty Certification Guide (SCS-C01)AWS security concepts and best practices (English Edition)

Agarwal, Nikhil

2024Description AWS, a leading cloud platform, demands effective security measures. This certification guide is your key to mastering AWS security best practices and passing the AWS Certified Security Specialty exam. This guide covers AWS cloud security, from basic concepts like shared responsibility and risk assessment to advanced topics like infrastructure, network, and application security. Learn data protection strategies, identity and access management, logging, monitoring, and incident response. It also provides practical advice on compliance, governance, and audits, plus tips on infrastructure such as code, automation, and orchestration. Aligned with the AWS Certified Security Specialty exam, this book helps professionals secure cloud environments. The book also contains practice exams and review questions to help you test your knowledge and make sure you are prepared for the certification. You can get a realistic feel for the exam by using these resources, which are made according to the format and difficulty of the actual exam. This guide will provide you with the support you need to become an AWS Security Specialist, regardless of your level of experience or your level of expertise. You will get the confidence and skills you need to do well in your AWS security job by reading this book.Key Features ? Learn topics like data protection, identity and access management, incident response, logging, and monitoring. ? Apply concepts with real-world examples and exercises to gain practical experience. ? Prepare with practice exams and review questions to ensure you are ready for certification.What you will learn ? Foundational cloud security concepts, risk management, and compliance frameworks. ? Protect sensitive data with encryption, key management, and data loss prevention strategies. ? Implement useful identity and access management, logging, and monitoring for threat detection. ? Develop incident response plans, automate security operations, and prepare for AWS Certifications.Who this book is for This book is for security engineers, cloud architects, DevOps engineers, and IT professionals seeking to fortify their AWS environments. It is ideal for those preparing for the AWS Certified Security Specialty exam.Table of Contents 1. Getting Started with Foundations of Cloud Security 2. The AWS Certified Security-specialty Exam Domains 3. Identity and Access Management: Laying a Solid Foundation 4. Securing Infrastructure Design in AWS 5. Securing Network Design in AWS 6. Application and Host-based Security 7. Data-at-rest, Data-in-transit and Data-in-use Protection 8. Encryption and Key Management 9. AWS Multi-account Architecture and Access Control 10. Infrastructure-as-Code and CI/CD 11. Application and Network Logging Strategies 12. Troubleshooting Security and Monitoring Alerts 13. Incident Detection, Response, and Remediation 14. Compliance, Governance, and Data Security Standards 15. Assessment, Audit, and Evidence Collection 16. Automated Security Investigation and Remediation 17. Exam Preparation Tips

Python for FinanceData analysis, financial modeling, and portfolio management (English Edition)

Zherlitsyn, Dmytro

2024Description Python's intuitive syntax and beginner-friendly nature makes it an ideal programming language for financial professionals. It acts as a bridge between the world of finance and data analysis. This book will introduce essential concepts in financial analysis methods and models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples. This book will help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.Key Features ? Comprehensive guide to Python for financial data analysis and modeling. ? Practical examples and real-world applications for immediate implementation. ? Covers advanced topics like regression, Machine Learning and time series forecasting.What you will learn ? Learn financial data analysis using Python data science libraries and techniques. ? Learn Python visualization tools to justify investment and trading strategies. ? Learn asset pricing and portfolio management methods with Python. ? Learn advanced regression and time series models for financial forecasting. ? Learn risk assessment and volatility modeling methods with Python.Who this book is for This book is designed for financial analysts and other professionals interested in the financial industry with a basic understanding of Python programming and statistical analysis. It is also suitable for students in finance and data science who wish to apply Python tools to financial data analysis and decision-making.Table of Contents 1. Getting Started with Python for Finance 2. Python Tools for Data Analysis: Primer to Pandas and NumPy 3. Financial Data Manipulation with Python 4. Exploratory Data Analysis for Finance 5. Investment and Trading Strategies 6. Asset Pricing and Portfolio Management 7. Time Series Analysis and Financial Data Forecasting 8. Risk Assessment and Volatility Modelling 9. Machine Learning and Deep Learning in Finance 10. Time Series Analysis and Forecasting with FB Prophet Library Appendix A: Python Code Examples for Finance Appendix B: Glossary Appendix C: Valuable Resources

C# 12 for Cloud, Web, and Desktop ApplicationsModern concepts and techniques for software development with C# 12 (English Edition)

Vivas de Araujo, Thiago

2024Description The world of application development is constantly changing with the rise of open-source languages and technologies. Since Microsoft made the .NET platform and C# open-source in 2014, a vibrant community of developers has contributed to the language's evolution on GitHub. Microsoft releases a new version of .NET every year, leading to newer patterns, frameworks, and design approaches in active application development. Learn C# 11 & 12 and use Entity Framework Core for data management. Explore cloud development with Azure Functions, Azure SQL Database, Cosmos DB, and Blob Storage. Implement async communication with Azure Service Bus and secure apps with Azure Key Vault. Build web apps with Blazor and ASP.NET, and add real-time features with SignalR. Discover microservices with Web APIs, and streamline your workflow using Azure DevOps and Docker. Develop applications for mobile, desktop, and Windows with .NET MAUI, Blazor Hybrid, and WinUI. Upon completion, readers will have a solid understanding of the latest C# features and how they fit into current design approaches. The book is not intended to be an exhaustive reference on the subject, but rather a jumping-off point for developers with some experience to begin working with the newest concepts. Key Features ? Learn the new features of C# 12 and how to apply them in programming. ? Understand how to develop cloud-based applications using Azure. ? Discover how to build applications for desktop using .NET MAUI.What you will learn ? Learning the fundamentals of C# 12 programming language. ? Understanding advanced concepts like LINQ and asynchronous programming. ? Building web applications using ASP.NET Core, MVC and Blazor. ? Crafting cross-platform desktop applications using .NET MAUI. ? Unit testing using NUnit for robust code validation. Who this book is for This book is geared towards intermediate to advanced .NET developers and software engineers seeking to expand their skill set in building modern cloud-based applications, web apps, and mobile experiences.Table of Contents 1. Introduction to Visual Studio 2022 2. What is New in C# 12 3. Mastering Entity Framework Core 4. Getting Started with Azure Functions 5. Azure SQL, Cosmos DB and Blob Storage 6. Unleashing the Power of Async Operations with Azure Service Bus 7. Securing Your Apps with Azure Key Vault 8. Building Dynamic Web Apps with Blazor and ASP.NET 9. Real-time Communication with SignalR and ASP.NET 10. Implementing MicroServices with Web APIs 11. CI/CD with Docker and Azure DevOps 12. Building Multi-platform Apps with .NET MAUI and Blazor Hybrid 13. Windows UI Library: Crafting Native Windows Experience 14. Unit Testing and Debugging

Data Communication and NetworkingUnderstanding network architecture, design, and management (English Edition)

Singh, Dr. Brahampal

2024Description This simple, well organized book provides the theory as well as the practical aspects of computer network. It covers the pillars of a computer network, like transmission, data transfer, and communication. It covers foundational concepts, explaining the OSI and TCP/IP models, digital transmission, interfaces, modems, and media characteristics like attenuation and throughput. It focuses on telephony, multiplexing techniques (FDM, TDM, and WDM), error correction, and ISDN. The book goes deep into network infrastructure, detailing devices like repeaters, bridges, and routers. It explores the transport layer and upper OSI layers for reliable data delivery and application formatting. It discusses network connections, encoding, error detection, Ethernet, switching, bridging, and routing. The book covers advanced topics like MPLS, mobile routing, TCP, RPC, congestion control, and QoS. It focuses on network security, including encryption, authentication, firewalls, and intrusion detection systems. This book is an ideal guide for beginners, irrespective of their roles, to learn and become masters in computer networking. This book is targeted for a wide and diverse readership, from school students to software professionals to academic researchers.Key Features ? All the basic concepts in computer networks explained clearly. ? Descriptive and conceptual questions provided at end of each chapter. ? Each concept and syntax explained with sufficient diagrams. ? Understand the core concepts related to computer networks and related technology. What you will learn ? Discover how to build a strong foundation in networking and related technologies. ? Learn about various network technologies and their applications. ? Gain insights into designing network applications. ? Find ways to fast-track your career by identifying the right technology and employer. ? Enhance your employability and stay relevant by addressing potential issues and connecting with growth strategies.Who this book is for This book is for current and aspiring network professionals, students, and anyone who wishes to understand how to have rewarding knowledge in computer networks, networking based emerging technologies, and more.Table of Contents 1. Basic Concepts 2. Telephony 3. Integrated Services Digital Network 4. Networking Devices 5. Network Layer 6. Transport Layer and Upper Layers in OSI Model 7. Foundation 8. Internetworking 9. Advanced Internetworking 10. End-to-End Protocols 11. Congestion Control and Resource Allocation 12. Multimedia Networking 13. Network Security

Generative AI for EnterprisesEssential insights for decision makers (English Edition)

Anand, Vishal

2024Description Generative AI can streamline technical and business processes, increase efficiency, and free up your resources’ time to focus on more strategic initiatives. This book takes the readers through a series of steps to deepen their understanding of the forces that shape an organization’s implementation of Generative AI at scale and successfully dealing with them. This book starts with GenAI potential uses, challenges and enterprise deployment strategies. You will learn to scale GenAI models along with LLMOps, choose the right LLM, and use prompt engineering and fine-tuning to customize the outputs. This book introduces a GenAI operating system as well as an orchestration platform for workflow automation. It discusses ethical considerations, designing a target operating model, cost optimization, Retrieval-augmented Generation (RAG), Model as a Service (MaaS), and Confidential AI. Finally, it explores the future of multi-modal AI assistants in enterprises. This book makes it easier for readers to debunk myths, and address fallacies and common misconceptions that could harm organizational investment and reputation. There are also practical and enterprise class scenarios and information that could help in improving implementations, within your organization, enabling you to achieve success beyond scaling challenges.Key Features ? Understand challenges and dimensions of model at scale. ? Understand model selection criteria, deployment patterns, and positioning. ? Design operating system and demarcation of landing zones. ? Understand enterprise application of prompt engineering and fine-tuning. ? Understand operating model, orchestration platform, multi AI assistants and ethical considerations. ? Understand various latency factors for Gen AI solutions.What you will learn ? Strategies for scaling GenAI models and discovering LLMOps for managing them. ? How to leverage GenAI to streamline enterprise class processes, boost efficiency, and explore new possibilities. ? Implementations in the enterprise class deployments, addressing potential issues and connecting with enablers and accurate growth strategy and execution principles. Who this book is for This book is for decision makers like CIOs, CTOs, CAIOs, Enterprise Architects, Chief Engineers, and anyone who wishes to learn how to have a rewarding implementation of Generative AI for their organizations and clients. Table of Contents 1. The Rise of Generative AI in Enterprises 2. Complex Needs of Production 3. Model Selection for Enterprises 4. Model Deployment for Enterprises 5. Operating System for Enterprises 6. Prompt Engineering for Enterprises 7. Fine-tuning for Enterprises 8. Orchestration of Generative AI Workflows 9. Six Ethical Dimensions for Enterprises 10. Designing a Target Operating Model 11. Cost Optimization Strategies 12. Retrieval-augmented Generation for Enterprises 13. Model as a Service for Enterprises 14. Confidential AI 15. Latency in Generative AI Solutions 16. Multi-modal Multi-agentic Assistant Framework for Enterprises

Exam Prep AZ-305Designing Microsoft Azure Infrastructure Solutions (English Edition)

Rawat, Lalit

2024Description “Exam Prep AZ-305: Designing Microsoft Azure Infrastructure Solutions” book is a comprehensive guide for IT professionals preparing for the Microsoft Azure AZ-305 certification exam. This book offers detailed insights into designing scalable, secure, and resilient infrastructure solutions on the Azure platform, aligning with the latest exam objectives. It covers critical topics such as designing governance, security, storage, and networking solutions, ensuring readers have the necessary knowledge to architect effective Azure solutions. Through a blend of theoretical concepts and practical exercises, this guide equips readers with the skills needed to apply Azure best practices in real-world scenarios. Each chapter covers specific areas of infrastructure design, providing step-by-step instructions, expert tips, and real-life examples to illustrate complex concepts. This practical approach not only helps in mastering the exam content but also enhances the reader's ability to solve real-world challenges in their job roles. It not only prepares you for certification but also empowers you to design and implement robust Azure infrastructure solutions, thereby enhancing your capabilities and career prospects in the evolving field of cloud technology.Key Features ? Expertise in Azure networking, storage, compute, identity management, monitoring, security, hybrid cloud solutions, and disaster recovery. ? Learn to design and implement robust Azure infrastructure solutions. ? Prepare for the AZ-305 Azure Infrastructure Architect certification exam. ? Utilize up-to-date Microsoft AZ-305 curriculum.What you will learn ? Master Azure governance principles. ? Design secure authentication and authorization solutions. ? Architect scalable compute solutions on Azure. ? Implement effective data storage and integration strategies. ? Design robust backup and disaster recovery solutions. ? Learn key migration strategies for transitioning to Azure.Who this book is for Whether you are an aspiring cloud architect, a seasoned IT professional, or someone looking to advance their career in cloud computing, this book serves as an essential resource.Table of Contents 1. Designing Governance 2. Designing Authentication and Authorization Solutions 3. Designing a Solution Monitor of Azure Resources 4. Designing an Azure Compute Solution 5. Designing a Data Storage Solution for Non-relational Data 6. Designing Data Integration 7. Designing Data Storage Solutions for Relational Data 8. Designing Network Solutions 9. Designing a Solution for Backup and Disaster Recovery 10. Designing Migration 11. Azure Well-Architected Framework 12. Exam Preparation Guidelines and Assessment Questions 13. Azure Architect Exam Mock Test

Psychology of UX DesignPsychological laws and effects | Gamification | Biases (English Edition)

Kumar, Alok

2024Description Understanding how users think, feel, and interact with digital products is crucial for creating designs that not only look good but also deliver exceptional user satisfaction. This book will help designers learn the fundamentals of design through the lenses of psychology, gamification, and biases. It includes numerous examples from actual mobile apps and websites, both Indian and global, allowing readers to connect the dots and deeply understand the psychological reasons behind various designs. Readers will understand how Fitt's law, Hick's law, and Miller's law shape layouts and decisions. They will also learn to use Gestalt principles for intuitive interfaces. You will discover how user behavior is influenced by the Zeigarnik effect, Halo effect, and Goal Gradient effect. The book will help you discover tips and tricks for gamifying your product, leading to better user acquisition and retention. Readers will learn about key biases that can impact design decisions. Featuring examples from well-known brands like Myntra, LinkedIn, Airbnb, MakeMyTrip, Swiggy, Zepto, Amazon, Flipkart, Walmart, and many more, this book connects with the products you use daily, helping you apply similar insights to your designs. Non-designers will also benefit from this book, as it provides valuable insights into the thought processes behind the design of physical and digital products, enabling them to observe and appreciate the design elements in their surroundings.Key Features ? Learn design with examples from booming startups and digital products. ? Learn how the fundamentals of psychology help enhance design and process. ? Learn gamification with the product’s examples you use everyday.What you will learn ? Understand the psychological reasons behind every design. ? Predict user behavior and make informed design decisions. ? Motivate users to perform specific tasks. ? Apply gamification theories to enhance user adoption. ? Avoid biases during design development and review.Who this book is for This book is intended for UX designers, UI designers, graphic designers, product managers, and any other designers interested in understanding their audience better. Table of Contents Section I – Psychology Laws 1. Fitt’s Law 2. Hick’s Law 3. Miller’s Law 4. Jakob’s Law 5. Tesler’s Law 6. Gestalt’s Law 7. Doherty Threshold Section II – Psychological Effects 8. Zeigarnik Effect 9. Storytelling Effect 10. Halo Effect 11. Goal Gradient Effect 12. Picture Superiority Effect 13. Von Restorff Effect Section III – Gamification 14. Gamification in UX Design Section IV – Biases 15. Biases in UX Design

Swift Design PatternsReusable solutions for Swift development with practical examples (English Edition)

Das, Mihir

2024Description Swift, Apple's intuitive and feature-rich programming language, has revolutionized the landscape of app development. Its clear syntax and powerful capabilities make it a go-to choice for developers of all levels. Swift Design Patterns' brings an exciting set of design patterns that makes the process of app development simpler, quicker and error-free. Understand, implement, and run the various design patterns such as architectural patterns, creative patterns, behavioral patterns and structural patterns. The book teaches each of these patterns in detail, explores its coding, architecture, principle components and layers, and how they work together to build robust and efficient Swift applications. While doing so, it also explores the most effective design tools, Figma and Zeplin, and how to use them effectively. By the end of this book, you will be equipped with the knowledge and skills to design and implement complex Swift applications using proven design patterns. You will be able to write cleaner, more efficient, and reusable code, making you a more proficient Swift developer.Key Features ? Comprehensive coverage of essential Swift design patterns. ? Learn to apply design patterns effectively in Swift projects through real-world examples and code snippets. ? Learn proven techniques for writing clean, efficient, and maintainable Swift code.What you will learn ? Implement essential Swift design patterns in your projects. ? Write clean, maintainable code and design scalable apps using SOLID and architectural patterns. ? Reactive programming with RxSwift and testing with XCTest. ? Collaborate effectively with design teams using Zeplin and Figma. ? Enhance app performance with optimized design solutions.Who this book is for Application developer, Swift programmer, iOS Application Engineer and all software programmers who know Swift and want to develop efficient and high-performing applications with minimal time and high quality of codes.Table of Contents 1. Introduction to Swift Programming 2. Fundamentals of SwiftUI 3. Why Design Patterns 4. Creational Design Patterns 5. The Structural Patterns 6. The Behavioral Patterns 7. SOLID Principles 8. Architecture Patterns 9. Design System with Effective Use of Zeplin and Figma 10. Reactive Programming with RxSwift 11. Testing Code with Unit and UI Tests 12. Anti-Patterns and Common Mistakes 13. Conclusion and Looking Ahead

Mastering Search Algorithms with PythonA practical guide for efficient data search (English Edition)

Baraskar, Pooja Nandy, Abhishek

2024Description In today's era of Artificial Intelligence and the vast expanse of big data, understanding how to effectively utilize search algorithms has become crucial. Every day, billions of searches happen online, influencing everything from social media recommendations to critical decisions in fields like finance and healthcare. Behind these seemingly straightforward searches are powerful algorithms that determine how information is discovered, organized, and applied, fundamentally shaping our digital interactions. This book covers various search algorithms, starting with linear and binary searches, analyzing their performance, and implementing them in Python. It progresses to graph traversal algorithms like DFS and BFS, including Python examples and explores the A* algorithm for optimal pathfinding. Advanced search techniques and optimization best practices are discussed, along with neural network applications like gradient descent. You will also learn to create interactive visualizations using Streamlit and explore real-world applications in gaming, logistics, and Machine Learning. By the end, readers will have a solid grasp of search algorithms, enabling them to implement them efficiently in Python and tackle complex search problems with ease.Key Features ? Comprehensive coverage of a wide range of search algorithms, from basic to advanced. ? Hands-on Python code examples for each algorithm, fostering practical learning. ? Insights into the real-world applications of each algorithm, preparing readers for real-world challenges.What you will learn ? Understand basic to advanced search algorithms in Python that are crucial for information retrieval. ? Learn different search methods like binary search and A* search, and their pros and cons. ? Use Python’s visualization tools to see algorithms in action for better understanding. ? Enhance learning with practical examples, challenges, and solutions to boost programming skills.Who this book is for This book is for software engineers, data scientists, and computer science students looking to master search algorithms with Python to optimize search algorithms in today's data-driven environments.Table of Contents 1. Introduction to Search Algorithms 2. Linear and Binary Search 3. Depth Search and Breadth First Search 4. Heuristic Search: Introducing A* Algorithm 5. Advanced Search Algorithms and Techniques 6. Optimizing and Benchmarking Search Algorithms 7. Search Algorithms for Neural Networks 8. Interactive Visualizations with Streamlit 9. Search Algorithms in Large Language Models 10. Diverse Landscape of Search Algorithms 11. Real World Applications of Search Algorithms

Competitive Coding Interview Questions190+ questions to tackle any C/C++ interview (English Edition)

Beri, Dr. Rydhm

2024Description In today's rapidly evolving technological landscape, staying competitive in the field of software development requires a deep understanding of fundamental programming concepts and the ability to solve complex problems efficiently. This book aims to be your comprehensive guide to acing technical interviews in C, C++, data structures, and database management systems (DBMS). The journey to becoming a proficient software engineer is often paved with rigorous technical interviews that test your knowledge, problem-solving abilities, and coding skills. This book compiles a wide range of interview questions and answers, providing you with the insights and practice needed to excel in any technical interview. Each chapter includes a series of questions that range from basic to advanced levels. The questions are designed to test various aspects of your knowledge and problem-solving skills. Detailed solutions and explanations are provided to help you understand the reasoning behind each answer.Key Features ? Understand arrays, linked lists, stacks, queues, trees, and graphs for problem-solving. ? Learn time and space complexity for solution optimization. ? Prepare for technical interviews. ? Learn advanced concepts of C, C++, data structures, and DBMS.What you will learn ? Advanced topics about C, C++, DBMS, and data structures. ? Understand pointers, including pointer arithmetic and multi-level pointers. ? Utilize templates and the Standard Template Library (STL) for generic and efficient code. ? Clear and concise explanations of concepts with examples. ? Algorithmic thinking and problem-solving techniques specific to data structures and algorithms.Who this book is for This book is ideal for students and graduates preparing for campus placements or entry-level positions, professionals seeking job transitions, and self-learners aiming to enhance their programming and problem-solving skills.Table of Contents 1. C Programming Core Concepts 2. C Programming Complex Concepts 3. C++ Programming Core Concepts 4. C++ Advanced Concepts 5. Data Structures Core Concepts 6. Database Management System

Modern Software Engineering GuidebookPractical solutions to efficient and economical software management (English Edition)

Kundu, Dr. Shakti

2024Description The Modern Software Engineering Guidebook makes an effort to explain how one may pursue a noteworthy career in emerging technologies. Through a series of steps, this book helps the reader gain a deeper awareness of the factors that influence one's career and progressive values. This book's focus is on conceptual entities, with an emphasis on moving forward with more modern software engineering advancement methodologies. The book guides how readers should investigate and take advantage of untapped prospects while focusing on critical areas of their careers. Starting with the software development lifecycle (SDLC) and its steps like gathering requirements, design, coding, testing, and maintenance. Learn methods like waterfall and agile, and how to write a software requirements document (SRD). It includes design principles, object-oriented design (OOD), and coding best practices. The book also discusses software reliability, testing methods, and measuring code quality. Find tips on managing software changes and maintenance. Lastly, explore trends like DevOps, cloud development, and using AI and ML in software. With the help of this book, readers will find it simpler to increase their employability and relevance to the job market, enabling them to quickly advance into fulfilling careers.Key Features ? Learn the phases of software engineering, including requirements, design, coding, testing, and maintenance. ? Understand software design, structured coding techniques, and testing strategies to ensure quality and reliability. ? Get familiar with project planning, current trends like software reliability, reuse, and the importance of quality assurance and reviews.What you will learn ? Understand the phases of software engineering and the latest advancements in software engineering. ? Grasp the importance of data gathering, analysis, and design. ? Master design architecture and structured coding styles. ? Understand different testing concepts and methods. ? Get familiar with maintenance tools and software quality metrics.Who this book is for This book targets aspiring and intermediate software developers seeking a solid foundation in SDLC. It benefits programmers, engineers, and IT professionals who want to create high-quality software.Table of Contents 1. Introduction to Software Engineering 2. Software Processes 3. Software Life Cycle Models 4. Software Requirements 5. Software Requirements Engineering Process 6. Software Reliability 7. Software Design 8. Object-Oriented Design 9. Software Implementation 10. Software Maintenance 11. Software Testing Strategies 12. Software Metrics 13. Quality Management 14. Software Project Management 15. Latest Trends in Software Engineering

Implementing Statistics with PythonOptimize decision-making with statistical inference and Python (English Edition)

Lee, Wei-Meng

2024Description Statistics is an important skill set to have when working as a quality analyst, a mathematician, a data analyst, a software engineer, or any analytical job. This book, "Implementing Statistics with Python," will teach you the basics of statistics and how to use Python to analyze data. You will learn to find patterns, quantify uncertainty, and make data-driven predictions with confidence. You will start with basic statistics and then use Python libraries like NumPy and Pandas for data manipulation. You will also learn data visualization with Matplotlib and Seaborn to create informative charts. The book covers probability theory and statistical inference to help you make data-driven decisions. You will be exploring regression and time series analysis with ARIMA for forecasting. Finally, the book introduces ML algorithms, preparing you for real-world data science projects. The book focuses on applying statistics rather than theory, using popular libraries like NumPy, SciPy, Pandas, Matplotlib, and Scikit-Learn. Reading this book will give you a good foundation for working with ML, business analytics, and data-driven business challenges.Key Features ? Learn the various aspects of statistics and its applications in real-world scenarios. ? Learn about the various libraries in Python for working with data. ? Adopt the learn-by-doing approach to solve real-world statistics problems. ? Learn how statistics is applied to Machine Learning.What you will learn ? Learn the fundamentals of Python and its libraries like Numpy, Pandas, Matplotlib and Seaborn. ? Grasp descriptive statistics and probability concepts. ? Perform statistical inference with Chi-square, ANOVA, and regression analysis. ? Skillfully navigate multivariate and time series analysis. ? Apply statistical techniques in practical ML.Who this book is for This book is for readers with basic Python knowledge who want to apply statistics in real-life scenarios, and those pursuing careers in data analytics, data engineering, data science, ML, and AI. It is also ideal for students beginning a course in statistics.Table of Contents 1. Introduction to Statistics 2. Python Basics for Statistics 3. Introduction to NumPy and Pandas for Data Manipulation 4. Data Visualization with Matplotlib and Seaborn 5. Descriptive Statistics 6. Probability Theory 7. Statistical Inference 8. Regression Analysis 9. Multivariate Analysis 10. Time Series Analysis 11. Machine Learning for Statistics 12. Practical Statistical Analysis in Machine Learning

Mastering Data Visualization with TableauEmpowering business decisions with Tableau (English Edition)

Chaturvedi, Dr. Arpana Malik, Prof. Praveen

2024Description "Mastering Data Visualization with Tableau” is an invaluable book that will help you become more knowledgeable and elevate your understanding and skills in data visualization using Tableau which is one of the leading tools in the industry. This comprehensive resource covers the basics of visual analytics, explaining both the theory and practical ways to turn raw data into useful insights. You will start with Tableau Desktop by learning to download it, navigate the interface, and connect to data sources. The book teaches you to create and format basic charts, adding interactivity with parameters, sets, sorting, and filtering. You will explore calculations and advanced visualizations like bar-in-bar charts and maps. It covers designing interactive dashboards, using text and images for storytelling, and sharing work via PDFs and Tableau Public. The book ends with AI features in Tableau and hands-on exercises to practice. Through this book, readers can gain the confidence to handle complex datasets, apply advanced visualization techniques, and harness Tableau's full potential to make informed decisions faster and with greater accuracy. This guide is your pathway to becoming proficient in the art and science of data visualization with Tableau. Key Features ? Detailed exploration of Tableau, Tableau interface, dimensions, measures, and other visualization tools. ? Techniques for interactive data visualization using actions, filters, sets, parameters, groups, and hierarchy. ? Advanced graphing techniques and dynamic visualization strategies, calculated fields, table calculations, and LOD. ? Comprehensive integration of AI to improve data analysis.What you will learn ? Tableau for complex data visualizations and apply predictive analytics. Clean and prepare data efficiently and create interactive dashboards that drive strategic business decisions. ? Advanced charts like bar-in-bar, profit calendar, and map visualizations. ? Gain practical hands-on experience with a question bank based on various industry use cases, enhancing your ability to tackle real-world data challenges.Who this book is for This book is an excellent resource for students from any discipline, data scientists, business analysts, and professionals eager to master Tableau for comprehensive insights, effective dashboards, and advanced data analysis. Table of Contents 1. Introduction to Data Visualization and Visual Analytics 2. Getting Started with Tableau Desktop 3. Connecting to Data Sources and Data Interpretation 4. Basic Data Visualization and Graphs in Tableau 5. Dynamic Interaction: Parameters, Set, Hierarchies, and Sorting 6. Dynamic Interaction Using Filter and Action on Worksheet 7. Advanced Data Visualization and Graphs in Tableau 8. Calculations in Tableau 9. Dashboard Design and Story Creation 10. Enhancing Dashboards: Sharing and Collaboration 11. Integrating AI in Tableau: An Overview 12. Data Cleaning and Preparation Using Tableau Prep Builder

Cracking the Cybersecurity InterviewEssential strategies and learn concepts (English Edition)

Gilbert, Karl Sen, Sayanta

2024Description This book establishes a strong foundation by explaining core concepts like operating systems, networking, and databases. Understanding these systems forms the bedrock for comprehending security threats and vulnerabilities. The book gives aspiring information security professionals the knowledge and skills to confidently land their dream job in this dynamic field. This beginner-friendly cybersecurity guide helps you safely navigate the digital world. The reader will also learn about operating systems like Windows, Linux, and UNIX, as well as secure server management. We will also understand networking with TCP/IP and packet analysis, master SQL queries, and fortify databases against threats like SQL injection. Discover proactive security with threat modeling, penetration testing, and secure coding. Protect web apps from OWASP/SANS vulnerabilities and secure networks with pentesting and firewalls. Finally, explore cloud security best practices using AWS to identify misconfigurations and strengthen your cloud setup. The book will prepare you for cybersecurity job interviews, helping you start a successful career in information security. The book provides essential techniques and knowledge to confidently tackle interview challenges and secure a rewarding role in the cybersecurity field.Key Features ? Grasp the core security concepts like operating systems, networking, and databases. ? Learn hands-on techniques in penetration testing and scripting languages. ? Read about security in-practice and gain industry-coveted knowledge.What you will learn ? Understand the fundamentals of operating systems, networking, and databases. ? Apply secure coding practices and implement effective security measures. ? Navigate the complexities of cloud security and secure CI/CD pipelines. ? Utilize Python, Bash, and PowerShell to automate security tasks. ? Grasp the importance of security awareness and adhere to compliance regulations.Who this book is for If you are a fresher or an aspiring professional eager to kickstart your career in cybersecurity, this book is tailor-made for you.Table of Contents 1. UNIX, Linux, and Windows 2. Networking, Routing, and Protocols 3. Security of DBMS and SQL 4. Threat Modeling, Pentesting and Secure Coding 5. Application Security 6. Network Security 7. Cloud Security 8. Red and Blue Teaming Activities 9. Security in SDLC 10. Security in CI/CD 11. Firewalls, Endpoint Protections, Anti-Malware, and UTMs 12. Security Information and Event Management 13. Spreading Awareness 14. Law and Compliance in Cyberspace 15. Python, Bash, and PowerShell Proficiency

MCQ for Data Science UsersPrepare for success with 5000+ data science multiple-choice questions (English Edition)

Bisen, Dr. Dhananjay Sahu, Dr. Neeraj Bakariya, Dr. Brijesh

2024This book intends to provide a collection of various MCQs on data scienceKey Features ? Comprehensive coverage of data science concepts and features. ? Multiple-choice questions to test and assess knowledge effectively. ? Over 5000 multiple-choice questions for practice.Description This book is a comprehensive manual created to assess and improve your comprehension of many concepts and methodologies in data science. The course encompasses a broad spectrum of subjects, such as data preprocessing, Machine Learning techniques, data visualization, statistical analysis, and additional topics. Every chapter is organized with a series of multiple-choice questions that test your understanding and allow you to evaluate your expertise in the subject. The book's objective is to offer a pragmatic and captivating approach for readers to enhance their proficiency in data science through practical exercises. The book provides an extensive examination of several subjects in data science, encompassing data preprocessing, statistical analysis, Machine Learning techniques, data visualization, and additional areas. This extensive knowledge helps readers acquire a full and all-encompassing comprehension of the subject matter. The chapters in this book adhere to a structured framework, which includes multiple-choice questions that enable readers to assess their understanding and grasp of the content. What you will learn ? Mastering data science concepts through multiple-choice questions. ? Strengthening problem-solving skills by practicing diverse scenarios. ? Interpreting the results of data analyses and Machine Learning models effectively. ? Evaluating the performance of different Machine Learning models using metrics. ? Developing critical thinking skills to assess the suitability of various data science approaches. ? Preparing for exams, interviews, and quizzes, etc.Who this book is for This data science MCQ book is perfect for anyone looking to test and improve their knowledge of data through multiple-choice questions.Table of Contents 1. Fundamental of Data Science and Data Analytics 2. Data Science Tools and Applications 3. Fundamentals of Programming 4. Introduction to Python Programming 5. Data Analysis: NumPy and Pandas Library 6. Data Visualization: Matplotlib and Seaborn Library 7. Data Structures and Algorithms 8. Database Management and Warehousing 9. Data Acquisition, Data Mining and Big Data 10. Data Pre-processing and Feature Engineering 11. Probability and Statistics 12. Linear Algebra 13. Calculus and Optimization 14. Artificial Intelligence 15. Machine Learning 16. Deep Learning 17. Pattern Recognition and Knowledge Representation 18. Natural Language Processing and Text Analytics 19. Web Analytics and Mining 20. Computer Vision

Advanced Machine LearningFundamentals and algorithms (English Edition)

Kumar Tyagi, Dr. Amit Tripathi, Dr. Khushboo Kumar Sharma, Dr. Avinash

2024Our book explains learning algorithms related to real-world problems, with implementations in languages like R, Python, etc.Key Features ? Basic understanding of machine learning algorithms via MATLAB, R, and Python. ? Inclusion of examples related to real-world problems, case studies, and questions related to futuristic technologies. ? Adding futuristic technologies related to machine learning and deep learning.Description Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms. After reading this book, readers will gain a comprehensive understanding of machine learning fundamentals and advanced techniques. With this knowledge, readers will be equipped to tackle real-world problems, make informed decisions, and develop innovative solutions using machine and deep learning algorithms.What you will learn ? Ability to tackle complex machine learning problems. ? Understanding of foundations, algorithms, ethical issues, and how to implement each learning algorithm for their own use/ with their data. ? Efficient data analysis for real-time data will be understood by researchers/ students. ? Using data analysis in near future topics and cutting-edge technologies.Who this book is for This book is ideal for students, professors, and researchers. It equips industry experts and academics with the technical know-how and practical implementations of machine learning algorithms.Table of Contents 1. Introduction to Machine Learning 2. Statistical Analysis 3. Linear Regression 4. Logistic Regression 5. Decision Trees 6. Random Forest 7. Rule-Based Classifiers 8. Naïve Bayesian Classifier 9. K-Nearest Neighbors Classifiers 10. Support Vector Machine 11. K-Means Clustering 12. Dimensionality Reduction 13. Association Rules Mining and FP Growth 14. Reinforcement Learning 15. Applications of ML Algorithms 16. Applications of Deep Learning 17. Advance Topics and Future Directions

Kotlin Crash CourseFast-track your programming skills with practical experience (English Edition)

van Engelen - Maslova, Elena

2024Quickly master Kotlin by practicing what you learnKey Features ? Understand Kotlin concepts and best practices. ? Apply what you learn in eight engaging interactive projects. ? Build real-world applications, including REST APIs and serverless deployments.Description Kotlin Crash Course is a fast-paced, hands-on introduction to Kotlin, preparing readers to build robust applications efficiently using the latest language features and best practices. The book is divided into comprehensive chapters that cover key Kotlin programming topics such as object-oriented and functional programming, collections, concurrency, and unit testing. Each chapter takes a learning by doing approach, focusing on practical projects rather than solely theoretical knowledge. This strategy improves knowledge retention by simulating real-life experiences, allowing students to apply concepts in practice as they learn them. Furthermore, the book is interwoven with an abundance of best practices obtained from industry experience. This approach ensures that even beginners can gain seasoned insights and apply their knowledge confidently to real-world challenges. By the end of this comprehensive course, you will not only possess a strong foundation in Kotlin programming but also the practical skills to build real-world applications, including REST APIs and serverless applications leveraging Kotlin's cloud capabilities.What you will learn ? Understand Kotlin syntax and basic coding conventions. ? Master object-oriented and functional programming concepts. ? Utilize Kotlin’s collection framework effectively. ? Implement concurrency and parallelism with coroutines. ? Build robust applications with best practices. ? Develop diverse applications, including REST APIs and serverless solutions.Who this book is for This book is suitable for students, programmers from other languages, Java developers, back-end developers, full-stack developers, and mobile developers. The book is appropriate for both new and experienced programmers wishing to acquire or refresh their Kotlin skills.Table of Contents 1. Discovering the Power of Kotlin Programming 2. Kotlin Syntax and Basic Coding Conventions 3. Setting up the Development Environment 4. Fundamental Building Blocks of Kotlin 5. Object-oriented Programming 6. Kotlin Collection Framework 7. Scope Functions 8. Functional Programming 9. Exploring Delegation Design Pattern 10. Concurrency and Parallelism 11. Unit Testing in Kotlin 12. Building a Simple REST API 13. Building Event-Driven Cloud Native Serverless Application

Flutter in 7 DaysBuild user-friendly apps with widgets and navigation (English Edition)

Patro, Ipsi

2024The best place to start your journey toward becoming a full-fledged Flutter developerKey Features ? Master essential Flutter widgets and styling techniques to write clean and reusable code. ? Build functional apps with data fetching and navigation. ? Integrate Firebase for user authentication and data storage.Description Flutter in 7 Days is a comprehensive guide to mastering Flutter, the cross-platform mobile development framework that allows developers to build stunning Android and iOS apps from a single codebase. This book will teach you everything you need to know about Flutter and Dart, which is the language behind Flutter. Starting from scratch, you will learn the fundamentals of Dart programming, followed by a deep dive into Flutter's versatile widgets and state management techniques. Each chapter is designed to build your skills progressively, enabling you to create responsive and interactive user interfaces. You will also explore how to connect your app to the web with network calls and JSON parsing, navigate between different screens, and integrate Firebase for powerful features like user authentication and data storage in Firestore and managing app state efficiently. By the end of this book, you will be equipped with the knowledge and confidence to develop any mobile app using Flutter. This book not only covers the technical aspects but also provides practical insights and tips to enhance your productivity. What you will learn ? Build and run Flutter applications on both Android and iOS. ? Understand Dart programming fundamentals for Flutter development. ? Create responsive and interactive user interfaces with Flutter widgets. ? Implement state management for maintaining the app state efficiently. ? Fetch and display data from the internet using REST APIs. ? Integrate Firebase for authentication, database, and notifications.Who this book is for Anyone who would like to build a cross-platform iOS and Android mobile app using one programming language is welcome; no prior programming knowledge is required.Table of Contents 1. Getting Started with Flutter and Dart 2. Basic Programming Concepts 3. First Flutter App 4. Flutter Widgets 5. Prep Up with Advanced Flutter 6. Fetch Data from Internet 7. Firebase Integration to Flutter App 8. Miscellaneous

Smart Home Automation with IoTThe ultimate DIY guide for making smart homes using open-source softwares (English Edition)

Saha, Dipankar

2024Enable smart homes with IoT open-source technologiesKey Features ? Learn to make your home smarter with IoT and AI at a very low cost. ? Live examples along with code and circuit samples which you can readily use. ? Learn scenario-based AI-based home automation techniques.Description This practical guide, "Smart Home Automation with IoT" shows you how to create a smart home without breaking the bank. Instead of relying on expensive, closed systems, you utilize the power of the Internet of Things (IoT) with open-source software to design a custom smart home experience that perfectly suits your needs. This book teaches you to create smart home IoT solutions using Raspberry Pi and microcontrollers like Arduino, NodeMCU (ESP8266), and ESP32. You will learn to program these microcontrollers, control relay modules, and use sensors for data collection. The guide covers using OpenHAB, InfluxDB, Mosquitto MQTT Broker, and Grafana with Raspberry Pi, enabling a unified system without coding. It also shows how to connect OpenHAB to Alexa or Google Home for voice commands and automate tasks like lighting. Bonus content includes using Raspberry Pi GPIO pins, AI-based hand gesture and face detection, and Docker containers. By the end of this book, you will be a confident smart home builder, equipped with the knowledge and skills to design, implement, and manage a customized system using open-source software. What you will learn ? Learn how to implement smart home solution using open-source technologies. ? Learn programming microcontrollers (ESP32, ESP8266, Arduino) using Arduino IDE to integrate with relays and sensors. ? Learn how to install and set up Raspberry Pi for home automation server. ? Learn how to develop Python programs for AI-based automation scenarios.Who this book is for This book aims to be a useful guide for IoT enthusiasts, engineers and professionals, as well as students who want to learn how to DIY smart home automation with IoT.Table of Contents 1. Introduction to IoT and Home Automation 2. Setting up Home Automation Platform on Raspberry Pi 3. Using NodeMCU and ESP32 with Relays and Actuators as Control Switch 4. Connecting Various Common Sensors using Arduino 5. Connect Sensors and Relays with OpenHAB IoT and Voice Chatbots 6. Developing Dashboards using Grafana to Monitor Smart Home and IoT Devices 7. Get more out of Raspberry Pi

Kali Linux for Ethical HackingPenetration testing and vulnerability assessment for network security (English Edition)

Atef, Mohamed

2024Master Kali Linux and become an ethical hackerKey Features ? Beginner-friendly step-by-step instruction. ? Hands-on labs and practical exercises. ? Covers essential tools and techniques.Description This book is a comprehensive guide for anyone aspiring to become a penetration tester or ethical hacker using Kali Linux. It starts from scratch, explaining the installation and setup of Kali Linux, and progresses to advanced topics such as network scanning, vulnerability assessment, and exploitation techniques. Readers will learn information gathering with OSINT and Nmap to map networks. Understand vulnerability assessment using Nessus, OpenVAS, and Metasploit for exploitation and privilege escalation. Learn persistence methods and data exfiltration. Explore wireless network security with Aircrack-ng and best practices for Wi-Fi security. Identify web vulnerabilities using Burp Suite. Automate tasks with Bash scripting, and tackle real-world penetration testing scenarios, including red team vs blue team exercises. By the end, readers will have a solid understanding of penetration testing methodologies and be prepared to tackle real-world security challenges.What you will learn ? Install and configure Kali Linux. ? Perform network scanning and enumeration. ? Identify and exploit vulnerabilities. ? Conduct penetration tests using Kali Linux. ? Implement security best practices. ? Understand ethical hacking principles.Who this book is for Whether you are a beginner or an experienced IT professional looking to transition into cybersecurity, this book offers valuable insights and skills to enhance your career.Table of Contents 1. Foundations of Ethical Hacking and Kali Linux 2. Information Gathering and Network Scanning 3. Executing Vulnerability Assessment 4. Exploitation Techniques 5. Post-Exploitation Activities 6. Wireless Network Security and Exploitation 7. Web Application Attacks 8. Hands-on Shell Scripting with Error Debugging Automation 9. Real-World Penetration Testing Scenarios

Observability in FinanceAchieving excellence in finance with effective observability (English Edition)

Priyadarshini Jeyaraman, Brindha

2024Observe, optimize, and transform in financeKey Features ? Learn observability basics in finance. ? Monitor financial data with logs and alerts and improve data security. ? Identify the key metrics for financial oversight. ? Use new tech for financial observability.This book explains the role of observability in the finance sector, showing how new technologies can help monitor and manage financial systems more effectively. It outlines the use of real-time data monitoring, Machine Learning, and cloud computing to enhance the efficiency of financial operations and ensure they meet regulatory standards. The chapters guide you through the process of setting up systems to track financial activities accurately, analyze market trends, and predict future challenges to keep operations secure and competitive. It offers clear explanations of how these technologies can help finance professionals make better decisions and manage risks proactively. Designed for finance professionals looking to update their technical skills, this book provides practical guidance on adopting modern observability tools and practices. It will help you understand how to apply these technologies to increase transparency and strengthen the resilience of financial operations in a constantly evolving industry.What you will learn ? Implement effective data monitoring strategies in finance. ? Use Machine Learning to enhance financial risk assessment. ? Develop robust compliance frameworks using observability tools. ? Apply real-time analytics for quicker financial decision-making. ? Integrate predictive analytics for forward-looking financial insights. ? Understand and deploy distributed tracing for financial operations.Who this book is for This book is ideal for financial professionals seeking to deepen their understanding of observability. It is also suitable for IT specialists in finance who wish to advance their skills in modern observability tools and practices. Table of Contents 1. Introduction 2. The Fundamentals of Observability 3. Monitoring and Logging for Financial Data 4. Tracing and Correlation in Finance 5. Metrics and Key Performance Indicators for Finance 6. Real-time Monitoring and Alerting in Finance 7. Observability for Algorithmic Trading and Market Data 8. Compliance and Regulatory Considerations 9. Advanced Techniques: Machine Learning and Predictive Analytics 10. Organizational Culture and Collaboration 11. Case Studies and Best Practices Observability 12. The Future of Observability in Finance 13. The Horizon of Financial Observability

React Development using TypeScriptModern web app development using advanced React techniques (English Edition)

Agnihotri, Ketan Dahale, Pranali

2024Gain expertise in React, Hooks, Redux, React Router, Next.js, Best Practices, and much moreKey Features ? Hands-on examples and projects for learning React and TypeScript. ? Starts with basics and advances to complex topics like Redux and GraphQL. ? Offers best practices for writing clean and efficient code. ? Bonus chapters on React Native and future trends.Description React is great for building interfaces, and TypeScript adds typing and better tools. React development using TypeScript is a complete guide that combines React and TypeScript to help you become a skilled React developer. It covers React basics, JSX syntax, and essential JavaScript features. You will learn about component state management with hooks like useState and useEffect, handling user interactions, and using Axios for REST API integration. It includes unit testing with Jest and React Testing Library and explores Redux for state management. Learn optimization strategies and use Next.js for server-side rendering. Bonus content includes React Native for mobile apps and integrating React with GraphQL. This book also covers advanced features like Concurrent Mode, Suspense, and React Server Components. By the end of this book, you will be equipped to confidently build modern, interactive web applications using React and TypeScript. You will not only understand core React concepts but also have the skills to tackle complex state management with Redux and explore advanced features like server-side rendering with Next.js.What you will learn ? Learn core React concepts and understand the benefits of TypeScript in React development. ? Grasp fundamental JavaScript concepts like variables, data types, and functions. ? Integrate React applications with REST APIs using Axios. ? Build user interfaces with React Native components. ? Optimize React application performance using memoization and profiling tools.Who this book is for This book is for junior and senior frontend developers who want to improve their skills. JavaScript developers moving to React, tech enthusiasts interested in modern web development, and students who want practical knowledge. Table of Contents 1. Getting Started with React 18 and Typecript 2. JavaScript Refresher 3. Understanding the Basics of React 4. React Hooks 5. Managing Component State and Lifecycle 6. Integrating with REST APIs 7. Testing React Application 8. Routing in React with React Router 9. State Management in React 10. Optimizing and Scaling React Apps 11. Building Server-side Rendered Applications with Next.js 12. React Native for Mobile Development 13. Integrating React with GraphQL 14. Exploring React’s Future Trends 15. Final Thoughts

Securing Networks with ELK StackBuilding zero trust network defense (English Edition)

Patel, Ram

2024Strengthening networks, redefining security: ELK Stack leading the chargeKey Features ? This book provides a thorough examination of zero trust network architecture, ELK Stack, and Elastic Security, encompassing foundational principles and practical deployment strategies. ? Readers gain practical insights into building resilient zero trust networks, leveraging ELK Stack's capabilities for data gathering, visualization, and advanced analytics. ? Through real-world case studies and examples, the book illustrates how to integrate Zeek and Elastic Security effectively.Description Step into the dynamic world of zero trust network architecture with this comprehensive handbook. Starting with an exploration of zero trust principles, each chapter unveils new insights and practical strategies. From crafting strategic blueprints to implementing hands-on deployment tactics, discover the intricacies of building a resilient zero trust network capable of thwarting modern threats. Journey through the extensive capabilities of ELK Stack, essential for fortifying a zero trust paradigm. Learn the nuances of data acquisition strategies and efficient ingestion methods with ELK, enabling robust data visualization and dashboard creation using Kibana. Explore advanced functionalities like Machine Learning driven anomaly detection to enhance your defenses against emerging threats. Explore Elastic Security's suite, encompassing threat detection, incident response, and compliance reporting, crucial elements in strengthening network defenses. Utilize the transformative potential of Zeek in network security, from foundational principles to advanced integration with Elastic Security. Real-world case studies showcase the synergy between Zeek and Elastic Security, providing insights into future-proof network protection strategies. Arm yourself with the knowledge and tools necessary to navigate the evolving landscape of network security. What you will learn ? Understanding the core principles and intricacies of zero trust network architecture. ? Designing and deploying a robust zero trust network using strategic methodologies. ? Leveraging ELK Stack's capabilities to support and enhance a zero trust approach. ? Implementing effective data gathering and ingestion strategies with ELK. ? Mastering data visualization and dashboard creation using Kibana for actionable insights.Who this book is for The book is primarily aimed at security professionals, network architects, and IT managers who are responsible for securing their organization's network infrastructure and sensitive data. The book is suitable for both technical and non-technical readers.Table of Contents 1. Introduction to Zero Trust Network Architecture 2. Zero Trust Network Architecture: Design and Deployment Strategies 3. Zero Trust Network Architecture: Data Gathering Strategies 4. Overview of ELK Stack and its Capabilities 5. Design of ELK Stack Components 6. Data Ingestion with ELK 7. Data Visualization with ELK 8. Effective Dashboards with Kibana 9. Unlocking Insights: ELK's Machine Learning Capabilities 10. Introduction to Elastic Security 11. Threat Detection and Prevention 12. Incident Response and Investigation 13. Compliance and Reporting 14. Introduction to Zeek 15. Zeek Data Collection and Analysis 16. Unlocking Synergies: Zeek and Elastic Security Integration in Action 17. Future Directions for Elastic Security 18. A Unified Recap: Safeguarding Networks with ELK

Simplified Machine LearningThe essential building blocks for Machine Learning expertise (English Edition)

Sharma, Dr. Pooja

2024Explore the world of Artificial Intelligence with a deep understanding of Machine Learning concepts and algorithmsKey Features ? A detailed study of mathematical concepts, Machine Learning concepts, and techniques. ? Discusses methods for evaluating model performances and interpreting results. ? Explores all types of Machine Learning (supervised, unsupervised, reinforcement, association rule mining, artificial neural network) in detail. ? Comprises numerous review questions and programming exercises at the end of every chapter.Description "Simplified Machine Learning" is a comprehensive guide that navigates readers through the intricate landscape of Machine Learning, offering a balanced blend of theory, algorithms, and practical applications. The first section introduces foundational concepts such as supervised and unsupervised learning, regression, classification, clustering, and feature engineering, providing a solid base in Machine Learning theory. The second section explores algorithms like decision trees, support vector machines, and neural networks, explaining their functions, strengths, and limitations, with a special focus on deep learning, reinforcement learning, and ensemble methods. The book also covers essential topics like model evaluation, hyperparameter tuning, and model interpretability. The final section transitions from theory to practice, equipping readers with hands-on experience in deploying models, building scalable systems, and understanding ethical considerations. By the end, readers will be able to leverage Machine Learning effectively in their respective fields, armed with practical skills and a strategic approach to problem-solving.What you will learn ? Solid foundation in Machine Learning principles, algorithms, and methodologies. ? Implementation of Machine Learning models using popular libraries like NumPy, Pandas, PyTorch, or scikit-learn. ? Knowledge about selecting appropriate models, evaluating their performance, and tuning hyperparameters. ? Techniques to pre-process and engineer features for Machine Learning models. ? To frame real-world problems as Machine Learning tasks and apply appropriate techniques to solve them.Who this book is for This book is designed for a diverse audience interested in Machine Learning, a core branch of Artificial Intelligence. Its intellectual coverage will benefit students, programmers, researchers, educators, AI enthusiasts, software engineers, and data scientists.Table of Contents 1. Introduction to Machine Learning 2. Data Pre-processing 3. Supervised Learning: Regression 4. Supervised Learning: Classification 5. Unsupervised Learning: Clustering 6. Dimensionality Reduction and Feature Selection 7. Association Rule Mining 8. Artificial Neural Network 9. Reinforcement Learning 10. Project Appendix Bibliography

Analog and Digital CommunicationVisualize and analyze the communication (English Edition)

Mahapatra, Rajarshi

2024More figures will bridge the gap between mathematics and visualization of the communication systemKey Features ? More figures to visualize the communication system. ? Limited mathematics to explain the concept. ? Complete overview of the communication system.Description In today's tech-driven world, communication systems play a crucial role in sharing information effectively. The book, Analog and Digital Communication helps you grasp the fundamental principles of these systems, enabling you to analyze and visualize information flow. This book on communication systems teaches you the basics of how information travels. It covers key concepts and tools, showing how analog information is transmitted on a carrier signal using techniques like AM and FM. You will also learn about converting analog signals to digital data and using modulation techniques like ASK and PSK. The book explains handling noise in communication and introduces information theory to understand data capacity and noise impact. It covers performance metrics like BER and channel coding for error correction. Additionally, it explores wireless and optical communication technologies like cellular networks, Wi-Fi, and optical fiber communication. By the end of this book, you will master analyzing digital modulation, understanding noise in communication, and using error correction methods. You will explore modern wireless and optical communication with light pulses, gaining skills to navigate the communication world confidently.What you will learn ? Visualize communication techniques. ? Relate the mathematical expressions with communication techniques. ? Find out the importance of different parameters in the performance of the communication system. ? Understand the impact of noise and techniques to overcome it. ? Analyze and design the communication systems.Who this book is for This book is suitable for undergraduate ECE students in all universities, as well as students of ICT and anyone interested in communication. It is ideal for engineering students, aspiring communication professionals, and curious individuals seeking insights into the technology connecting our world.Table of Contents 1. Introduction to Communication 2. Mathematical Basics 3. Communication Channel 4. Analog Modulation Technique 5. Sampling, Quantization, and Line Coding 6. Digital Modulation Techniques 7. Signal Detection in Presence of Noise 8. Information Theory 9. Performance of Communication System 10. Channel Coding 11. Wireless Communication 12. Optical Communication

Functional Programming with GoFunctional design and implementation in Go (English Edition)

Pal Singh, Amrit

2024Crafting elegant and efficient solutions!Key Features ? Learn core functional programming (FP) concepts and their advantages for Go development. ? Implement practical techniques like closures, higher-order functions, and function currying for powerful codes. ? Write clean and maintainable code using immutability and pure functions.Description "Functional Programming with Go" is a comprehensive guide to introduce Go developers to the powerful concepts of functional programming. This book covers topics like first-class functions, closures, higher-order functions, immutability, and pure functions. It also demonstrates how these principles can enhance code quality, reliability, and maintainability. Starting with functional programming basics and setup, it covers first-class functions, closures, and higher-order functions like map, filter, and reduce. You will learn advanced techniques like currying, immutability, and functional error handling with monads. The book also explores concurrent programming with FP in Go, design patterns, functional web development, testing, debugging, and advanced topics like memoization. This book equips you with the knowledge and skills needed to write efficient, scalable, and robust Go applications. By the end of this book, you will have the knowledge and skills to apply functional programming principles in Go.What you will learn ? Applying functional programming concepts to enhance code quality. ? Leveraging higher-order functions and closures for flexible code. ? Implementing advanced techniques like function currying and partial application. ? Writing pure functions and using immutable data structures in Go. ? Handling errors efficiently using monads and functional techniques. ? Designing concurrent systems with goroutines and channels in Go.Who this book is for This book is designed for Go developers who want to enhance their skills in functional programming. It is also suitable for programmers with a basic understanding of Go.Table of Contents 1. Introduction to Functional Programming 2. First-Class Functions and Closures 3. Higher-Order Functions 4. Function Currying and Partial Application 5. Immutability and Pure Functions 6. Error Handling in Functional Go 7. Concurrency in a Functional Style 8. Functional Design Patterns 9. Functional Web Development with Go 10. Functional Testing and Debugging 11. Beyond the Basics: Advanced Functional Go 12. Conclusion and Next Steps

Learn Python Game Development with ChatGPTTechniques for creating engaging games with generative AI (English Edition)

Lanham, Micheal

2024Leverage the power of AI in coding, graphics, design, and intelligence to join the next wave in game developmentKey Features ? Teaches the core concepts of game development for 2D, 3D, and AI games. ? Uses AI to assist and guide the reader across several facets of game development. ? Learn to create AI-controlled enemies for your games.Description This book is a comprehensive guide to creating interactive and engaging games, leveraging the capabilities of ChatGPT and other advanced AI technologies. The book starts with prompt engineering and system prompting, building a strong AI foundation for game development. It covers various game genres, from text adventures to 3D shooters, showing AI integration. Each chapter is designed to build on the previous one, ensuring a cohesive learning experience that gradually increases in complexity and depth. Readers will learn game development basics and creative techniques for immersive game worlds. They will use PyZork for text games and Streamlit for enhanced visuals. The book covers AI-generated assets, behavior-driven AI, and advanced topics like isometric world-building and voice-responsive games. Practical projects help readers create their unique games, while GPT agents and AI technologies showcase the future of gaming. By the end of this journey, readers will have a deep understanding of how to create innovative and engaging games using AI, positioning them at the forefront of modern game development.What you will learn ? Master prompt engineering for building games, game assets, and AI-driven games. ? Develop engaging text-based adventures with AI-driven storytelling elements. ? Create 2D games from platformers, isometric worlds, and physics. ? Design AI opponents with behavior-driven logic and adaptive difficulty. ? Introduction to 3D first-person shooters using GPT agents. ? Implement voice recognition and text-to-speech in interactive games.Who this book is for This book is for aspiring or experienced game developers and indie game studios interested in using generative AI to create games faster and explore new possibilities.Table of Contents 1. ChatGPT and the Magic of Prompt Engineering 2. Text Adventure: Entering the Enchanted Realm 3. The AI Chronicles: Text Game Evolution 4. 2D Platformer: Leap into Pixelated Fun! 5. Bot Brawls: AI Opponents Enter the Arena 6. Revving up: Cars, Ramps, and Pymunk 7. Building Isometric Worlds 8. Leveling up with GPT Agents and AutoGen 9. Building a 3D First-Person Shooter 10. Games That Respond to Your Voice 11. The Future Beckons: Developing GPT Games

Design Patterns of Deep Learning with TensorFlowBuilding a customer hyper-personalisation ecosystem using deep learning design patterns (English Edition)

V Joseph, Thomas

2024Architecting AI: Design patterns for building deep learning productsKey Features ? Master foundational concepts in design patterns of deep learning. ? Benefit from practical insights shared by an industry professional. ? Learn to build data products using deep learning.Description Design Patterns of Deep Learning with TensorFlow is your comprehensive guide to learning deep learning from a design pattern perspective. In this book, we explore deep learning within the context of building hyper-personalization models, exploring its applications across various industries and scenarios. It starts by showing how deep learning enhances retail through customer segmentation and data analysis. You will learn neural networks, computer vision with CNNs, and NLP for analyzing customer behavior. This book addresses challenges like uneven data and optimizing models with techniques like backpropagation, hyperparameter tuning, and transfer learning. Finally, it covers setting up data pipelines and deploying your system. With practical tips and actionable advice, this book equips readers with the skills and strategies needed to thrive in today's competitive AI landscape. By the end of this book, you will be equipped with the knowledge and practical skills to build and deploy deep learning-powered hyper-personalization systems that deliver exceptional customer experiences.What you will learn ? Understand about hyper-personalized AI models for tailored user experiences. ? Design principles of computer vision and NLP models. ? Inner working of transformers equipping readers to understand the intricacies of generative AI and large language models (LLMs) like ChatGPT. ? To get the best out of deep learning models through hyperparameter tuning and transfer learning. ? Learn how to build deployment pipelines to serve models into production environments seamlessly.Who this book is for This book caters to both beginners and experienced practitioners in the field of data science and Machine Learning. Through practical examples, it simplifies complex ideas, linking them to design patterns. Table of Contents 1. Customer Hyper-personalization 2. Introduction to Design Patterns and Neural Networks 3. Design Patterns in Visual Representation Learning 4. Design Patterns for Non-Visual Representation Learning 5. Design Patterns for Transformers 6. Data Distribution Challenges and Strategies 7. Model Training Philosophies 8. Hyperparameter Tuning 9. Transfer Learning 10. Setting Up Data and Deployment Pipelines

Mastering Open Source Threat Analysis StrategiesStrategic approaches, practical insights, and case studies for effective cyber security (English Edition)

Rai, Vishal

2024The book is designed for a practical approach to learning, with examples based on scenarios. It covers possible OSINT blueprints from the beginning to an advanced levelKey Features ? Learn about OSINT and how to set up an OSINT environment for investigations. ? Master techniques for tracking fraud SMS and investigating emails. ? Explore reverse image searching and geolocation strategies.Description OSINT is a powerful technology used to gather and analyze information from publicly available sources. It empowers cybersecurity professionals to proactively detect and mitigate threats. This book serves as a comprehensive guide offering strategic approaches and practical insights into leveraging OSINT for cybersecurity defense. This book is an all-encompassing guide to open-source intelligence (OSINT). It meticulously details tools, techniques, and applications across a multitude of domains. The book explores OSINT’s use in social media, email domains, IP addresses, images, videos, documents, mobile numbers, companies, job postings, and the dark web. It probes OSINT’s application for threat intelligence, data leak detection, understanding encryption, and digital certificates, assessing fake news, reverse image search, geolocation workarounds, real image identification, finding banned organizations, handling sensitive information like Aadhar and Social Security Numbers, while also tracking fraudulent SMS. By the end of this book, readers will emerge as competent cybersecurity professionals equipped with the skills and expertise to navigate the ever-evolving landscape of cyber threats with confidence and proficiency.What you will learn ? Understand the fundamentals of OSINT in cybersecurity. ? Securing web browsers and ensuring online privacy. ? Investigating emails and tracking cyber threats. ? Gain insights into tracking mobile identities and domain or IP investigations. ? Enhance cybersecurity defenses with practical case studies.Who this book is for This book is essential for cybersecurity professionals, investigators, law enforcement, and digital forensics analysts seeking advanced OSINT strategies.Table of Contents 1. Setting up OSINT Environment 2. Secure Browsers 3. Exploring OS Security 4. Online Privacy and Security 5. Tail OS in Use 6. Using Tor Browser 7. Advanced Search Tools 8. Sock Puppet Accounts 9. Exploring Footprinting 10. Investigating E-mails 11. Utilizing Social Media 12. Tracking Family and Friends 13. Mobile Identity Search 14. Mining Online Communities 15. Investigating Domain and IP 16. Detection of Data Leaks 17. Understanding Encryption and Digital Certificates 18. Access Fake News 19. Reverse Image Search 20. Geo-location 21. Identify Real Images 22. Use of Aadhaar and Social Security Number 23. Tracking Fraud SMS

Webinaire octobre 2024 - Nouveautés informatique BPB