Название: Graph Neural Networks in Action (Final Release)
Автор: Keita Broadwater, Namid Stillman
Издательство: Manning Publications
Год: 2025
Страниц: 394
Язык: английский
Формат: pdf (true)
Размер: 18.3 MB

A hands-on guide to powerful graph-based Deep Learning models. Graph Neural Networks in Action teaches you to create powerful Deep Learning models for working with graph data. You’ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you’ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. There are now several GNN libraries in the Python ecosystem, including PyTorch Geometric (PyG), Deep Graph Library (DGL), GraphScope, and Jraph. We focus on PyG, which is one of the most popular and easy-to-use frameworks, written on top of PyTorch. The book provides a survey of the most relevant implementations of GNNs, including graph convolutional networks (GCNs), graph autoencoders (GAEs), graph attention networks (GATs), and graph long short-term memory (LSTM). The aim is to cover the GNN tasks mentioned earlier. For Python programmers familiar with Machine Learning and the basics of Deep Learning.

Название: Terraform in Depth: Infrastructure as Code with Terraform and OpenTofu (Final Release)
Автор: Robert Hafner
Издательство: Manning Publications
Год: 2025
Страниц: 505
Язык: английский
Формат: pdf (true)
Размер: 58.4 MB

An in-depth guide to everything Terraform, complete with newly established best practices and experienced insights into Infrastructure as Code. Terraform and its open-source fork OpenTofu’s “Infrastructure as Code (IaC)” approach has redefined the way you manage your infrastructure. Its premise is simple-yet-awesome: provision, update, scale, and replicate your infrastructure with the same ease as your application code. In Terraform in Depth, you’ll discover absolutely everything you need to automate and manage your infrastructure with just a few lines of code. The CLI is very heavily entwined with Terraform itself. The Terraform core is built into the CLI and can only be accessed by the CLI. CI/CD systems that run Terraform, such as HCP Terraform or Spacelift, are built around either the Terraform or OpenTofu CLI and call it directly. This differs from other languages like Go or C where you can compile code, but it is similar to interpreted languages such as Python or Node where you need a tool to run the programs. For most developers, the CLI is going to be used extensively even if they also have CI/CD systems available. This book includes examples using the CLI as new topics are introduced. For sysadmins, software developers, and cloud engineers familiar with the CLI.

Название: Building Event-Driven Microservices: Leveraging Organizational Data at Scale, 2nd Edition (Early Release)
Автор: Adam Bellemare
Издательство: O’Reilly Media, Inc.
Год: 2025-02-19
Страниц: 120
Язык: английский
Формат: epub
Размер: 10.1 MB

Event-driven microservices offer an optimal approach to harnessing event streams, reacting and responding to changes as they occur across your company. With this fully revised and updated guide, you'll learn how to build event streams, then apply the principles of event-driven architecture to create powerful microservice applications for your organization. Author Adam Bellemare takes you through the process of creating event-driven microservice architectures, from first principles all the way to advanced applications. Covering event design, modeling, production, and consumption, this book will show you powerful and reusable patterns for generating and accessing data all across your organization.

Название: Considerations on the AI Endgame: Ethics, Risks and Computational Frameworks
Автор: Soenke Ziesche, Roman V. Yampolskiy
Издательство: CRC Press
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This seminal volume offers an interdisciplinary exploration into the rapidly evolving field of artificial intelligence and its societal implications. Written by leading scholars Soenke Ziesche and Roman V. Yampolskiy, the book delves into a multitude of topics that address the rapid technological advancements in AI and the ethical dilemmas that arise as a result. The topics explored range from an in-depth look at AI welfare science and policy frameworks to the mathematical underpinnings of machine intelligence. These subjects include discussions on preserving our personal identity in technological contexts as well as on the question of AI identity, innovative proposals towards the critical AI value alignment problem and a call to merge Western and non-Western approaches towards universal AI ethics. The work also introduces unconventional yet crucial angles, such as the concept of "ikigai" in AI ethics and a pioneering attempt to map a potential AI-driven ikigai universe as well as the role of design formalisation, or "Designometry," in the creation of artefacts. By offering a balanced mix of theoretical and applied insights, the book serves as an invaluable resource for researchers, policymakers and anyone interested in the future of AI and the extent of its impact on society.

Название: Инфраструктура как код. С примерами на Python и Terraform
Автор: Розмари Ванг
Издательство: ДМК Пресс
Год: 2025
Страниц: 486
Язык: русский
Формат: pdf
Размер: 20.5 MB

Инфраструктура как код (IaC) – это набор методов и процессов для построения и обслуживания инфраструктуры с использованием скриптов, файлов конфигурации или языков программирования. IaC значительно облегчает тестирование компонентов, реализацию функций и масштабирование системы. Но самое главное – поскольку IaC следует классическим методам разработки, для внесения изменений в масштабах системы достаточно нескольких коммитов кода! Прочитав эту книгу, вы научитесь создавать виртуальные серверы, сети, балансировщики нагрузки, брандмауэры и другие компоненты с помощью Python и Terraform, а также уверенно обновлять инфраструктуру, не прерывая работу системы. Советы экспертов по стратегиям совместной работы в команде помогут вам избежать нестабильности, повысить безопасность системы и сократить расходы.

Название: Mastering Kotlin in 30 Days: From Fundamentals to Advanced Android Development
Автор: Rover Mildreds
Издательство: Independently published
Год: September 24, 2024
Страниц: 327
Язык: английский
Формат: epub
Размер: 40.3 MB

Mastering Kotlin in 30 Days is your ultimate guide to learning Kotlin programming from the ground up. Whether you’re a seasoned developer transitioning to Kotlin or a beginner eager to explore this modern language, this book is designed to equip you with the knowledge and skills needed to master Kotlin for professional use, particularly in Android development. Kotlin is rapidly becoming the go-to language for Android developers, favored for its clarity, safety features, and seamless interoperability with Java. This comprehensive guide breaks down complex programming concepts into clear, manageable sections, making it easy to absorb the fundamentals and advance to more complex topics. One of the key benefits of Kotlin is its interoperability with Java, which allows developers to seamlessly integrate Kotlin code with existing Java projects. This means that developers can gradually migrate their codebases to Kotlin without having to rewrite their entire application from scratch. Kotlin also offers a range of features that are not available in Java, such as extension functions, higher-order functions, and null safety, which help developers write more concise and robust code.

Название: Mastering Grid Computing: Scheduling and Resource Management
Автор: Ankita, Sudip Kumar Sahana
Издательство: Apple Academic Press/CRC Press
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf (true), epub
Размер: 40.5 MB

The book incorporates different scheduling algorithms, including traditional and non-traditional (bio-inspired) methods, to solve grid scheduling problems. Grid computing, a computing infrastructure that combines computer resources spread over different geographical locations to achieve a common goal, is seen as an efficient solution to solve complex real-world computer problems in a shorter time. Grid computing makes it easier to collaborate with other organizations, makes better use of existing hardware, and reduces transmission congestion, leading to more efficient electricity markets, improved power quality, and a reduced environmental impact. A large number of scheduling algorithms are available, but choosing an optimal algorithm is important. In this book, we have studied several scheduling algorithms such as First Come First Serve (FCFS), Shortest Job First (SJF), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and a few hybrid algorithms.

Название: Go in Practice, Second Edition
Автор: Nathan Kozyra, Matt Butcher, Matt Farina
Издательство: Manning Publications
Год: 2025
Страниц: 376
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Practical techniques for building concurrent, cloud-native, and high performance Go applications—all accelerated with productivity-boosting AI tools. Go in Practice, Second Edition is full of tips, tricks, best practices, and expert insights into how to get things done with Go. It builds on your existing knowledge of the Go language, introducing specific strategies you can use to maximize your productivity in day-to-day dev work. Go in Practice, Second Edition has been extensively revised by author Nathan Kozyra to cover the latest version of Go, along with new dev techniques, including productivity-boosting AI tools. It follows an instantly-familiar cookbook-style Problem/Solution/Discussion format, building on what you already know about Go with advanced or little-known techniques for concurrency, logging and caching, microservices, testing, deployment, and more. For intermediate developers with previous experience in Go.

Название: Coding For Beginners - 21th Edition 2025
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2025
Язык: английский
Формат: pdf
Размер: 50.1 MB

"Программирование на Python для начинающих" - это первый и единственный выбор, если вы начинающий и хотите узнать все, что вам нужно, чтобы начать программировать. Это независимое руководство наполнено полезными рекомендациями и пошаговыми примерами с цветными иллюстрациями, написанными на простом и понятном английском языке. На страницах этого нового руководства вы узнаете все, что вам нужно знать о написании своих собственных потрясающих приложений. С этим неофициальным руководством по эксплуатации ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и улучшаете свой пользовательский опыт.

Название: Blender Scripting with Python: Automate Tasks, Write Helper Tools, and Procedurally Generate Models in Blender 4
Автор: Isabel Lupiani
Издательство: Apress
Год: 2025
Страниц: 490
Язык: английский
Формат: pdf
Размер: 13.7 MB

Learn to automate tasks, develop custom extensions, and procedurally generate meshes in Blender. This book will show you how to streamline virtually every stage of the 3D modeling pipeline for your next game or animation project. Start with a hands-on introduction to the Blender Python API and dive right into basics like loading/running scripts and turning hand-modelling steps into Python by capturing them in the Info Editor. Then experiment with Blender menu options, typing them into the Python console and watch things move in the viewport. You'll also dissect with Blender-shipped add-ons and take advantage of built-in templates to quickly create new scripts. With a firm grasp of scripting basics, you'll start to develop your own add-ons for editing and generating models. Then add more advanced mesh edits like extrude and loop cut-and-slides to your script, and essentials for shaping mesh elements like merge, bevel, and so on. Putting it altogether, you'll create an extension to procedurally generate stylized fire hydrants with parametric controls. New and seasoned users of the Blender Python API, that have either some experience with Blender or some experience with general Python development.