Название: Docker for Beginner: Practical Guide to Containerization Mastery
Автор: Nolan Vautrin
Издательство: Independently published
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Docker for Beginners - Practical Guide to Containerization Mastery" is a comprehensive guide designed for those who want to discover and master Docker, a revolutionary technology in the field of containerization. This book is tailored to be accessible to a wide audience, whether you are a developer, system administrator, or simply a tech enthusiast. The primary goal of this guide is to walk you step-by-step through learning Docker, whether you are a complete beginner or already have some basic knowledge. Through clear explanations, practical tips, and real-world examples, you will learn how to use Docker effectively and integrate this technology into your projects. Docker is a versatile and powerful tool designed for a wide range of users. Whether you're a developer looking to automate and deploy faster, a system administrator looking to simplify environment management, or just curious to learn a new technical skill, this book is for you. Together, we'll learn how Docker can simplify, accelerate, and optimize your workflow.

Название: Mastering RESTful API Development with Go: Master RESTful API Development with Go, gRPC, and GraphQL to Create Scalable and Secure APIs for Cutting-Edge Web Solutions
Автор: Nitin Gurbani
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 243
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Master the Art of Building Scalable and Secure REST APIs with Go. RESTful APIs are the backbone of modern web and mobile applications, enabling seamless communication between systems. As businesses demand scalable, high-performance, and secure APIs, mastering Go—a fast, efficient, and concurrency-friendly language—has become a game-changer for developers. Mastering RESTful API Development with Go is your complete guide to building robust, production-ready APIs. Whether you're a beginner or an experienced developer, this book equips you with everything needed to design, develop, and deploy RESTful APIs with Go’s simplicity and power. Start with the fundamentals of REST API architecture, including HTTP requests, responses, and status codes. Dive deep into Go’s syntax, understand its strengths for API development, and implement authentication, security best practices, and database integration.

Название: Cloud Native Data Security with OAuth: A Scalable Zero Trust Architecture
Автор: Gary Archer, Judith Kahrer, Michał Trojanowski
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 418
Язык: английский
Формат: epub
Размер: 10.1 MB

With the growth of cloud native applications, developers increasingly rely on APIs to make everything work. But security often lags behind, making APIs an attractive target for bad actors looking to access valuable business data. OAuth, a powerful framework for API security, offers tools to protect sensitive business data and enforce dynamic access controls. But to harness its full potential, you need more than standards—you need strategies for adapting to evolving security demands. Designed for developers, architects, and security professionals, this guide provides everything you need to secure APIs in the cloud native era—ensuring your business data stays protected. You'll learn how to combine OAuth's token-based model with cloud native platforms like Kubernetes to build a scalable, zero trust security architecture. With OAuth, you can go beyond simple allow/deny rules and create security policies that align with business needs, while Kubernetes provides best-in-class deployment patterns to keep systems secure and efficient. Most code examples and code snippets use TypeScript, as a simple yet expressive language. On mobile platforms we use languages specific to the platform, namely Kotlin and Swift.

Название: Designing Large Language Model Applications: A Holistic Approach to LLMs
Автор: Suhas Pai
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 431
Язык: английский
Формат: epub
Размер: 10.1 MB

Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged applications can be difficult. This book helps close that gap, providing the tools, techniques, and playbooks that practitioners need to build useful products that incorporate the power of language models. Experienced ML researcher Suhas Pai offers practical advice on harnessing LLMs for your use cases and dealing with commonly observed failure modes. This book is intended for a broad audience, including software engineers transitioning to AI application development, Machine Learning practitioners and scientists, and product managers. The only prerequisites for this book are knowledge of Python coding and an understanding of basic Machine Learning and Deep Learning principles.

Название: Python Game Logic
Автор: Alisa Turing
Издательство: Publifye
Год: 2025
Страниц: 247
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Python Game Logic" offers a practical guide to understanding the core principles behind video game creation. It emphasizes the importance of mastering game mechanics and control structures using the Python programming language. Readers will discover how conditional statements and loops dictate game responses to player actions, and how these elements form the foundation for more complex game designs. One intriguing aspect is the focus on building games from scratch, granting developers greater control and a deeper understanding of the underlying code rather than relying on external plugins. The book takes a progressive learning approach, starting with Python syntax and basic game setup using libraries like Pygame. It then delves into handling player input, implementing movement and collision detection, and creating basic game AI. Through hands-on exercises and coding challenges, readers will learn to apply these concepts to build functional 2D game prototypes. This approach ensures that even those with minimal programming experience can grasp the fundamentals of game programming and begin creating their own interactive experiences.

Название: Mastering the Art of C++ STL: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 691
Язык: английский
Формат: epub (true)
Размер: 13.0 MB

Unlock the full potential of C++ programming with *Mastering the Art of C++ STL: Unlock the Secrets of Expert-Level Skills. This comprehensive guide delves into the heart of the Standard Template Library, providing seasoned developers with unparalleled insights and advanced techniques to leverage STL's full capabilities. Each chapter meticulously explores the intricate workings of STL, from foundational components to sophisticated data structures, helping you build robust and efficient software solutions. Navigate the intricate world of sequence and associative containers, harness the power of iterators, and master the diverse range of STL algorithms. This book provides detailed coverage of both foundational concepts and advanced optimization strategies, ensuring you can tackle performance challenges with confidence. Explore real-world applications that highlight STL's versatility in complex projects, including design pattern integration, data-intensive applications, and concurrency management.

Название: Mastering Python Concurrency and Parallelism: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 525
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Unlock the full potential of your Python programming with "Mastering Python Concurrency and Parallelism: Unlock the Secrets of Expert-Level Skills." This comprehensive guide is crafted for experienced developers ready to elevate their expertise in concurrent and parallel computing. Through detailed exploration of threading, asyncio, and multiprocessing, you'll gain the insights needed to optimize your software for today's multi-core processors, ensuring peak performance and efficiency in your applications. Navigate through the nuanced world of Python concurrency with expertly organized chapters covering essential concepts, real-world applications, and advanced techniques. From demystifying the Global Interpreter Lock (GIL) to designing sophisticated concurrent data structures, this book offers unparalleled clarity and practical knowledge. Each chapter builds on the previous one, providing a seamless learning curve that empowers you to master the intricacies of writing robust, scalable concurrent code.

Название: Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications
Автор: Harsh Bhasin
Издательство: Apress
Год: 2024
Страниц: 373
Язык: английский
Формат: pdf (true), epub (true)
Размер: 34.6 MB

This book discusses Deep Learning, from its fundamental principles to its practical applications, with hands-on exercises and coding. It focuses on Deep Learning (DL) techniques and shows how to apply them across a wide range of practical scenarios. The book begins with an introduction to the core concepts of DL. It delves into topics such as transfer learning, multi-task learning, and end-to-end learning, providing insights into various DL models and their real-world applications. Next, it covers neural networks, progressing from single-layer perceptrons to multi-layer perceptrons, and solving the complexities of backpropagation and gradient descent. It explains optimizing model performance through effective techniques, addressing key considerations such as hyperparameters, bias, variance, and data division. It also covers convolutional neural networks (CNNs) through two comprehensive chapters, covering the architecture, components, and significance of kernels implementing well-known CNN models such as AlexNet and LeNet. It concludes with exploring autoencoders and generative models such as Hopfield Networks and Boltzmann Machines, applying these techniques to a diverse set of practical applications. For Machine Learning engineers, data scientists, AI practitioners, software developers, and engineers interested in Deep Learning.

Название: The Ultimate jаvascript Handbook: Coding, Debugging, and Optimizing
Автор: Mike Zephalon
Издательство: Independently published
Год: August 28, 2024
Страниц: 668
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

The "Ultimate jаvascript Handbook: Coding, Debugging, and Optimizing" serves as a comprehensive guide for both novice and experienced developers. By exploring topics such as data structures, loops, logic, object-oriented programming, functions, and design patterns, readers will gain a deep understanding of how to write efficient, maintainable, and scalable jаvascript code. This book is an essential resource for developers looking to enhance their jаvascript skills and stay ahead in the ever-evolving world of web development. jаvascript is a high-level, interpreted programming language that enables you to implement complex features on web pages, such as interactive forms, animations, and real-time content updates. It’s versatile and can be used for both front-end and back-end development. jаvascript is everywhere, from web browsers to servers (Node.js).

Название: Role of Nature-Inspired Algorithms in Real-life Problems
Автор: Vanita Garg, Kusum Deep
Издательство: Springer
Год: 2025
Страниц: 149
Язык: английский
Формат: pdf (true), epub
Размер: 31.0 MB

The book includes nature-inspired optimization techniques and their applications. It offers recent trends in the field of nature-inspired algorithms for solving real-life problems in various fields related to manufacturing, Artificial Intelligence (AI), finance, etc. Nature-inspired optimization techniques are not only useful but also needed for solving open-ended problems. Understanding nature-inspired techniques and their importance for solving real-life problems can open many directions for researchers and academicians. This book will be helpful in acquiring knowledge of nature-inspired optimization techniques in various fields of real-life applications. In an era where technological advancements drive the competitive edge across industries, the application of nature-inspired algorithms stands at the forefront of solving complex, real-world problems. These algorithms, inspired by natural processes such as evolution, swarming, and biogeography, offer innovative and efficient solutions that traditional methods often fail to achieve. This book serves as a comprehensive guide to understanding and applying these powerful techniques to a diverse array of practical challenges.