Книги по программированию и IT 2026 года

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 ...

This book is a complete, hands-on guide to designing, training, and deploying your own Large Language Models (LLMs)—from the foundations of tokenization to the advanced stages of fine-tuning and reinforcement learning. Written for developers, data scientists, and AI practitioners, it bridges core principles and state-of-the-art techniques, offering a rare, transparent look at how modern transforme...

Learn to build AI-powered cross-platform applications using .NET MAUI. Designed for developers of all levels, this book offers a structured, project-based approach to integrating artificial intelligence into modern applications that run on Android, iOS, Windows, and macOS from a single codebase.As artificial intelligence continues to transform software development, understanding how to effectively...

In the era of Generative AI, creating immersive and adaptive experiences in game development has become more innovative and practical than ever before. This book looks to deepen your expertise in using tools such as GPT, DALL-E, and VADER to design dynamic narratives, procedurally generated content, and create AI-powered gameplay.Divided into six parts, you will start from building foundational co...

As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the answer. By combining LLMs with information retrieval, RAG empowers you to build everything from intelligent chatbots to autonomous, task-solving agents....