Книги по программированию и IT 2026 года

Advance your career by mastering key .NET tools and skills, including debugging, source code management, testing, cloud native development, multitasking, and moreKey FeaturesCoverage of key .NET tools and skills, including refactoring, source code management, debugging, and morePractical guidance on using code editors effectively and implementing good practicesExplore cutting-edge techniques like...

Transition from C++ to Rust with ease by learning how to write safe, modern systems code using familiar examplesKey FeaturesCompare Rust and C++ side by side to accelerate your Rust learning curveUnderstand Rust’s memory safety, concurrency, and project structure in practical termsBuild and convert real-world programs while adopting modern Rust idiomsPurchase of the print or Kindle book includes a...

Time series is far more than fit-predict forecasting. Real mastery comes from intuition and is built through experimentation. Walk the full range with two practitioners: forecasting, conformal prediction, transfer learning, and beyond.Key FeaturesGrasp core concepts through clear explanations that build genuine understanding rather than surface familiarityWork with realistic datasets and develop t...

Learn Clean Architecture as a set of organizing principles, not just code templates. This book shows how to design scalable, testable .NET apps using modern patterns, DDD, CQRS, and secure Azure integration.Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesArchitect robust .NET apps with domain-driven, testable Clean ArchitectureIntegrate Azure External ID a...

Ткань данных, озеро данных и сетка данных появились относительно недавно и стали рассматриваться как конкурентные альтернативы современному хранилищу данных. У новых архитектур действительно есть весомые преимущества, но, помимо этого, они окружены ореолом предубеждений и мифов. Книга содержит практический обзор архитектур данных, который поможет специалистам в области обработки данных понять преи...

he AI revolution is here, and at its core lies a game-changing technology that most developers haven’t fully explored: vector databases. From powering semantic search to enabling large language models (LLMs) and generative AI, vector databases are reshaping how we build applications with unstructured data like text, images, and audio. But how do you go from curious to capable with this vital techn...

Исправление ошибок в базах данных PostgreSQL может быть трудоемким и рискованным процессом — особенно при внесении изменений в работающую систему в реальном времени. К счастью, можно учиться на ошибках, которые уже совершили другие! Автор подробно описывает, как выявлять и предотвращать самые распространенные, опасные и скрытые антипаттерны проектирования при работе с PostgreSQL. Узнайте, откуда б...

This book is your definitive guide to mastering DeepSeek, a leading open-source Large Language Model (LLM), and leveraging its power through practical Python programming. It is structured to build your expertise from foundational Python data structures and object-oriented programming to advanced model deployment.The initial chapters establish a strong technical base in Python’s core features, incl...

A step-by-step guide for using Python to transform abstract mathematical concepts into effective, on-the-ground scripts that solve real-world business problemsApplied Math with Python: Solve Real-World Problems with Python-Based Solutions is a detailed, step-by-step guide for business professionals, analysts, and data scientists interested in using Python to perform crucial organizational tasks: o...

Learn how to build GenAI applications using proven software engineering patterns instead of rapidly changing frameworks. This book helps engineers build secure, scalable agentic systems with familiar tools and practical, engineer-to-engineer architectural guidance.You will connect GenAI concepts such as agentic workflows, embeddings, and vector databases to enterprise patterns, including component...

This textbook serves as a companion to "A Mathematical Introduction to Data Science". It uses Python programming to provide a comprehensive foundation in the mathematics needed for data science. It is designed for anyone with a basic mathematical background, including students and self-learners interested in understanding the principles behind the computational algorithms used in data science. The...

Get started with building your first games on the Roblox platformFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBegin coding in Luau: build player avatars, battlefields, game physics, countdown timers, and moreLearn tips, tricks, best practices, and advanced Roblox coding techniques to create 3D gamesJoin the Discord server to discuss queries, provide sol...

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What a...

Produktinformationen "Numeric Python"Numerical computing with NumPy arrays, dtypes, vectorized operationsData analysis using Pandas DataFrames, grouping, pivoting, and time seriesScientific visualization with Matplotlib plots, layouts, and contour graphicsReal-world data work: files, missing data, binning, and indexingApplied Python: image processing, probability, and practical projectsThis book t...

Bigger isn’t always better. Train and tune highly focused language models optimized for domain specific tasks.When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. Domain-Specific Small Language Models teaches you to build generative AI models optimized for specific fields.In ...