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System Design, Подготовка к сложному интервью по GenAI, Аминиан А., Шенг Х., 2026.

   Интервью по System Design (проектированию ИТ-систем) очень популярны у работодателей, на них легко проверить ваши навыки общения и оценить умение решать реальные задачи.
Интенсивный практикум по проектированию сложных ML-систем сфокусирован на самой горячей теме последних лет: генеративном искусственном интеллекте. Если вы датасайентист или ML-инженер, готовый перейти от теоретических знаний и изолированных моделей к созданию полноценных, масштабируемых и надежных продуктов, эта книга для вас. Авторы не просто рассказывают о трансформерах и диффузионных моделях — они проводят читателя через весь жизненный цикл системы: от сбора и очистки данных и выбора архитектуры до развертывания и мониторинга. Книга построена вокруг разбора реальных кейсов (Gmail Smart Compose, Google Translate, ChatGPT), что делает её бесценным ресурсом для подготовки к сложным интервью по System Design и для реальной работы.

System Design, Vishwakarma A., 2026.

   This book takes a structured, practical journey through the foundations and applications of system design. It begins by establishing core principles such as scalability, availability, consistency, performance, and trade-offs, and gradually builds toward designing complete, real-world systems. Each chapter introduces essential concepts and then applies them to concrete problems, ranging from databases, caching, APIs, and messaging systems to full-scale designs of real-time chat applications, URL shorteners, and notification platforms. The goal is not just to show what to build, but how to think when designing systems under real-world constraints.

SQL Server 2025 Query Performance Tuning, Fritchey G., 2026.

   It’s never easy to "introduce" you to six to nine months of work. The concept of an introduction is simple enough: what’s the purpose of the book, who is the book written for, tips on how best to use the book. However, the introduction also has to set the stage for the rest of the book. As you’ll see when you read it, I open and close the book with a simple concept: query tuning is hard. When I present live sessions on this topic, I'll tell people up front. The easy way to tune queries is to simply throw money at the problem. Buy bigger hardware. Move to a higher service tier on your cloud provider. You can always make things faster by spending more money. It’s when the money runs out that you might just need to spend something else, time. Time learning how to identify poorly performing queries, understand how to investigate them to see where the problem may lie, and then apply a fix and validate that it worked. That’s where this book comes in.

Regular Expressions Machinery, The Illustrated Guide, Nöteberg S., 2026.

   This book is written for those who want to deeply understand regular expressions. Maybe you’ve come across them in programming languages or tools but never really understood how they work under the hood. Even though the book is based on advanced mathematics, you don't need any prior knowledge.
Unlike many other books that focus solely on syntax, this book starts with a deep dive into the underlying automata theory. This provides you with a deeper understanding of how regular expressions work on a fundamental level. Clear illustrations and straightforward explanations make university-level mathematics accessible for everyone.
The goal of the book is to give you a deep understanding of regular expressions so that you can use them with confidence and efficiency in your work.

React, Быстрый старт, Стефанов С., 2025.

   Незаменимая книга по React — технологии с открытым исходным кодом для быстрого создания многофункциональных веб-приложений. Второе издание, обновленное с учетом последней версии React, показывает, как создавать компоненты React и организовывать их в удобные для сопровождения крупномасштабные приложения. Если вы знаете синтаксис JavaScript, то сразу можете приступать к работе.
По ходу чтения разработчики и программисты создадут полноценное приложение. Вы быстро поймете, почему многие выбирают React для разработки веб-приложений.

RAG with Python Cookbook, Deepak Dhyani, 2026.

   This book is written for engineers, architects, data scientists, and technical practitioners who want to build robust and production-grade RAG applications. By the end of this book, you will have the skills to design complete RAG pipelines, optimize retrieval workflows, integrate LLMs effectively, and implement advanced agentic retrieval strategies using modern Python libraries

Quantum Computing, Research, Applications, and Advances, Rajasekaran A.S., Suganyadevi S., 2026.

   Quantum Computing: Research, Applications, and Advances provides a comprehensive overview of the foundational principles of quantum mechanics that underpin quantum computing. It explains such concepts as superposition, entanglement, and quantum gates to demystify the esoteric nature of quantum phenomena. It delves into the current state of quantum computing research, presenting an insightful analysis of the latest breakthroughs and technological advancements. From the race to achieve quantum supremacy to the development of scalable quantum hardware, the book offers a detailed exploration of the key players, their methodologies, and the challenges they face as they push the boundaries of quantum computing capabilities. It explores the practical applications of quantum computing across various domains. From cryptography to optimization problems and drug discovery, the book also illustrates how quantum algorithms have the potential to outperform classical counterparts to open doors to new possibilities where traditional computing falls short. The book integrates theoretical concepts and practical applications.

PyTorch, The Practical Guid, Gollnick B., 2026.

   This book is aimed at a broad target group interested in deep learning with PyTorch, including students of computer science, mathematics, and related disciplines as well as professionals who want to expand their knowledge in this area. The book is written in such a way that a beginner in machine learning can work with it, but experienced professionals can also use it to improve their skills and knowledge.