Litgu.ru - Литературный Гуру

Название: Integrating Rust: Adopt Rust effortlessly for secure, scalable, and high-performance systems
Автор: Abhishek Kumar, Pooya Eimandar
Издательство: BPB Publications
Год: 2025
Страниц: 388
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Integrating Rust shows you how to create fast, secure software while keeping full control. This book helps you with the knowledge to seamlessly integrate Rust into your existing development workflow, using its power for high-performance systems programming and beyond. This book is your go-to guide for bringing Rust into your tech stack to build secure, high-performance software. Designed for developers and tech leads, this book offers tools and insights for seamlessly adopting Rust in multi-language environments, modernizing workflows, and optimizing legacy systems. It explains Rust's type system and safety features while providing step-by-step examples for working with C, C++, databases, embedded systems, and WebAssembly. This book contains practical tips to help you achieve scalability, reliability, and top-notch performance. This book is designed for software developers, system architects, and tech leads who want to integrate Rust into their existing projects or initiate a new project using Rust. Readers should possess a basic understanding of programming concepts and have experience with at least one other programming language, such as C.

Название: Go Lang in Depth: Guide to program microservices, networking, database and APIs using Go Lang
Автор: Bhagvan Kommadi
Издательство: BPB Publications
Год: 2025
Страниц: 436
Язык: английский
Формат: epub (true)
Размер: 15.3 MB

Go, a modern and efficient programming language, is rapidly gaining popularity for building robust and scalable applications. This book, Go Lang in Depth, instills you with the knowledge and skills to master Go, from its fundamental building blocks to advanced concepts. This Go programming book provides a detailed guide, starting from basic syntax and data structures to advanced concepts like concurrency and error handling. It teaches you how to build applications, including console apps, REST APIs, and web apps using popular frameworks like Gin and Beego. You will also explore creating real-world projects, such as a CRM system, and understand advanced topics like dependency injection, SOLID principles, and Docker containerization. The book covers performance optimization with profiling and benchmarking, ensures application security with authentication and cryptography, and explains design patterns and best practices for building scalable, secure web applications. No prior knowledge of Go is required, but a basic understanding of programming concepts will be beneficial.

Название: Mastering Infrastructure as Code with AWS CloudFormation: A comprehensive guide to AWS Cloud Automation and Orchestration
Автор: Anchal Gupta
Издательство: BPB Publications
Год: 2025
Страниц: 396
Язык: английский
Формат: epub (true)
Размер: 12.3 MB

In today’s evolving cloud landscape, IaC bridges software development and infrastructure management. AWS CloudFormation, a powerful AWS service, enables you to define, provision, and manage infrastructure through code. This comprehensive guide is your key to unlocking the full potential of AWS CloudFormation, providing the knowledge and skills needed to create, automate, and optimize AWS infrastructures with precision. Begin your journey with the essentials of AWS CloudFormation and create templates, manage stacks, and navigate the CloudFormation console with confidence. Progress to mastering the design of scalable, secure, and efficient cloud architectures. Explore advanced techniques such as dynamic parameters, reusable templates, and stack dependency management. With practical, real-world examples, you will not only learn the theory but also gain hands-on experience automating deployments, implementing security protocols, and ensuring compliance in your cloud environment. Upon completing this guide, you will emerge as a proficient AWS CloudFormation expert, capable of crafting and managing AWS infrastructures with code. CloudFormation integrates seamlessly into continuous integration and continuous deployment (CI/CD) pipelines, supporting tools like Jenkins, GitLab CI/CD, and AWS CodePipeline.

Название: Web Automation Testing Using Playwright: End-to-end, API, accessibility, and visual testing using Playwright
Автор: Kailash Pathak
Издательство: BPB Publications
Год: 2025
Страниц: 362
Язык: английский
Формат: epub (true)
Размер: 25.5 MB

The purpose of the book Web Automation Testing Using Playwright is to teach you how to use Playwright to automate your web testing. Playwright, a powerful automation tool developed by Microsoft, is a modern web automation framework that is fast, reliable, and easy to use. This book begins by introducing automation testing, its benefits, and Playwright, covering setup, scripting, and Playwright's architecture. It guides you through creating frameworks, selector strategies, and handling complex web elements like shadow DOM and iframes. Explore Playwright features such as Codegen, Inspector, UI mode, debugging with Trace Viewer, and generating detailed reports. Learn advanced techniques like building frameworks using Page Object Model (POM), integrating Cucumber/BDD, API testing, HTTP request interception, and accessibility and visual testing. Additionally, the book explores test execution in CI/CD tools, parallel testing, AI-driven test automation, leveraging generative AI like ChatGPT, and future trends in test automation. By the end of this book, you will be a web automation expert, writing efficient tests that validate web app functionality.

Название: Machine Learning Interview Guide: Job-oriented questions and answers for data scientists and engineers
Автор: Rehan Guha
Издательство: BPB Publications
Год: 2025
Страниц: 346
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

This book prepares you with the knowledge and skills to confidently excel in the exciting world of machine learning (ML) interviews and launch a successful career in this dynamic field. This book offers a collection of curated questions and answers to help readers understand key ML concepts, including data processing, classification, regression, clustering, dimensionality reduction, time series, and natural language processing (NLP). While not exhaustive, it focuses on critical topics and common questions often encountered in interviews. The chapters highlight essential concepts without a strict order of importance, reflecting the informal nature of ML interviews. Alongside theoretical knowledge, the book emphasizes the importance of coding and real-world application for a deeper understanding. Practical exercises, coding projects, and continuous learning are crucial to mastering ML concepts.

Название: A Generative Journey to AI: Mastering the foundations and frontiers of generative deep learning
Автор: Toni Ramchandani
Издательство: BPB Publications
Год: 2025
Страниц: 476
Язык: английский
Формат: epub (true)
Размер: 19.1 MB

Explore the world of generative AI, a technology capable of creating new data that closely resembles reality. This book covers the fundamentals and advances through cutting-edge techniques. It also clarifies complex concepts, guiding you through the essentials of Deep Learning, neural networks, and the exciting world of generative models, like GANs, VAEs, Transformers, etc. This book introduces Deep Learning, Machine Learning, and neural networks as the foundation of generative models, covering types like GANs and VAEs, diffusion models, and other advanced architectures. It explains their structure, training methods, and applications across various fields. It discusses ethical considerations, responsible development, and future trends in generative AI. It concludes by highlighting how generative AI can be used creatively, transforming fields like art and pushing the boundaries of human creativity, while also addressing the challenges of using these technologies responsibly. This book is ideal for AI enthusiasts, developers, and professionals with a basic understanding of Python programming and Machine Learning.

Название: Modern Approach to C Programming: Exploring the foundations of problem-solving through C programming
Автор: Amisha Saxena, Nancy Arya, Anil Tanwar
Издательство: BPB Publications
Год: 2025
Страниц: 270
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

C is a powerful and versatile programming language used for building everything from operating systems to video games. This book equips you with the essential knowledge to solve problems and create efficient programs using C. This book provides a comprehensive guide to C programming, starting with the fundamentals of the C language and progressing to advanced topics. It begins by introducing the syntax, data types, operators, control flow statements, and functions. The book then delves into arrays and strings, two essential data structures in C programming. Subsequently, it explores advanced topics such as pointers, structures, unions, and file handling. This book will help readers have a solid understanding of C programming and be equipped to write efficient C programs. By the end of this book, you will be a confident C programmer, ready to write effective code and solve real-world problems. The book provides you with the foundational skills and knowledge to approach programming challenges with a newfound sense of ease, paving the way for a rewarding career as a C programmer.

Название: Java Real World Projects: A pragmatic guide for building modern Java applications
Автор: Davi Vieira
Издательство: BPB Publications
Год: 2025
Страниц: 378
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Java continues to be a key technology for building powerful applications in today’s fast-changing tech world. This book helps you connect theory with practice, teaching you the skills to create real-world Java projects. With a clear learning path, you will learn the tools and techniques needed to tackle complex software development challenges with confidence. This book, inspired by real-world Java projects, starts with Java fundamentals, covering core APIs, modern features, database handling, and automated testing. It explores frameworks like Spring Boot, Quarkus, and Jakarta EE for enterprise cloud-native applications. Employ container technologies like Docker and Kubernetes for scalable deployments. This book is ideal for aspiring and intermediate Java developers, including students, software engineers, and anyone seeking to enhance their Java skills. Prior experience with basic programming concepts and a foundational understanding of Java are recommended.

Название: Графовые алгоритмы. Практическая реализация на платформах Apache Spark и Neo4j
Автор: Нидхем М., Холдер Э.
Издательство: ДМК Пресс
Год: 2020
Cтраниц: 260, цвет. и ч/б ил.
Формат: pdf (ocr)
Размер: 19 мб
Язык: русский

Каждую секунду во всем мире собирается и динамически обновляется огромный объем информации. Графовые алгоритмы, которые основаны на математике, специально разработанной для изучения взаимосвязей между данными, помогают разобраться в этих гигантских объемах. И, что особенно важно в наши дни, они улучшают контекстную информацию для искусственного интеллекта.

Название: Deep Learning via Rust: State of the Art Deep Learning in Rust
Автор: Evan Pradipta Hardinatha, Jaisy Arasy, Idham Hanif Multazam
Издательство: RantAI Academy
Серия: Semi-Numerical Series Book 2
Год: December 22, 2024
Страниц: 109
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

"Deep Learning via Rust" or DLVR offers a comprehensive exploration of Deep Learning concepts and techniques through the lens of the Rust programming language, known for its performance and safety. The book begins by establishing a strong foundation in Deep Learning principles, mathematical underpinnings, and introduces essential Rust libraries for Machine Learning. It then delves into a wide array of neural network architectures, including CNNs, RNNs, Transformers, GANs, and emerging models like diffusion and energy-based models, providing both theoretical insights and practical implementations. Advanced topics such as hyperparameter optimization, self-supervised learning, reinforcement learning, and model interpretability are thoroughly examined to enhance model performance and understanding. The later sections focus on building, deploying, and scaling Deep Learning models in Rust across various applications like computer vision, natural language processing, and time series analysis, while also addressing scalable and distributed training techniques. Finally, the book explores current and emerging trends in the field, including federated learning, quantum machine learning, etc.