Books

All Programming languages 1482AI and ML 737Algorithms and theory 497Software Development 444WEB development 371DevOps and Infrastructure 265Cybersecurity 224OS and System 167Databases 146Other 145Game development 139Embedded systems 129IT management 102
EN
Architecting Intelligent Agents in Azure: Building Agentic Systems with Python and the Microsoft Agent Framework

Architecting Intelligent Agents in Azure: Building Agentic Systems with Python and the Microsoft Agent Framework

A

Hari Narayn

DevOps and Infrastructure
EN
Building Mission-Critical Applications with .NET 10 and C# 14: A Guide to Engineering Modern Cloud-Native .NET Applications with Less Pain

Building Mission-Critical Applications with .NET 10 and C# 14: A Guide to Engineering Modern Cloud-Native .NET Applications with Less Pain

A

Afzaal Ahmad Zeeshan

Programming languages
EN
Microsoft Fabric Analytics Engineer Associate Study Guide: Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam

Microsoft Fabric Analytics Engineer Associate Study Guide: Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam

A

Brian Bønk and Valerie Junk

AI and ML
EN
Practical Programming, Fourth Edition: An Introduction to Computer Science Using Python 3.14

Practical Programming, Fourth Edition: An Introduction to Computer Science Using Python 3.14

A

Dmitry Zinoviev

Programming languages
EN
Exploring Computational Geometry: Theory and Python Implementations

Exploring Computational Geometry: Theory and Python Implementations

A

Adis Alihodžić

Programming languages
EN
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

A

Ofer Mendelevitch, Forrest Sheng Bao

AI and ML
EN
Python for Excel: A Modern Environment for Automation and Data Analysis

Python for Excel: A Modern Environment for Automation and Data Analysis

A

Felix Zumstein

AI and ML
EN
Data Pipelines with Apache Airflow: Orchestration for Data and AI, Second Edition

Data Pipelines with Apache Airflow: Orchestration for Data and AI, Second Edition

A

Julian de Ruiter, Ismael Cabral, Kris Geusebroek, Daniel van der Ende, Bas Harenslak

AI and ML
EN
Building Complex Multi-Agent Systems Using Pattern Prompting

Building Complex Multi-Agent Systems Using Pattern Prompting

A

Tim O'Brien

AI and ML
EN
The Copilot Compass: Navigating Copilot and Agents in Microsoft 365

The Copilot Compass: Navigating Copilot and Agents in Microsoft 365

A

April Dunnam

AI and ML
EN
Azure Fundamentals (AZ-900) Study Guide: In-Depth Guidance & Practice for Aspiring Cloud Engineers

Azure Fundamentals (AZ-900) Study Guide: In-Depth Guidance & Practice for Aspiring Cloud Engineers

A

Jack Lee

DevOps and Infrastructure
EN
Launching Enterprise Products: How to Navigate Strategy, Influence, and Delivery in Complex Organizations

Launching Enterprise Products: How to Navigate Strategy, Influence, and Delivery in Complex Organizations

A

Anusha Ravi, Nitika Malhotra

Other
EN
Data Engineering for Beginners

Data Engineering for Beginners

A

Chisom Nwokwu

AI and ML
EN
Build Python Web Apps with Streamlit: AI and data applications in minutes

Build Python Web Apps with Streamlit: AI and data applications in minutes

A

Aneev D. Kochakadan

WEB development
EN
Numeric Python: Python Data Analysis with NumPy, Pandas, and Matplotlib

Numeric Python: Python Data Analysis with NumPy, Pandas, and Matplotlib

A

Bernd Klein

AI and ML
EN
Value by Design with Microsoft Copilot Studio: Designing Strategic Agents with Microsoft's AI Tools

Value by Design with Microsoft Copilot Studio: Designing Strategic Agents with Microsoft's AI Tools

A

Steve Jeffery

Game development
EN
Kubernetes for Absolute Beginners: Getting Familiar with K8s and Container Technologies

Kubernetes for Absolute Beginners: Getting Familiar with K8s and Container Technologies

A

Brando Marzio Sabatini

DevOps and Infrastructure
RU
Algorithm Development. Engineering Approach

Algorithm Development. Engineering Approach

A

Паоло Феррагина

Algorithms and theory
EN
Introduction to Psychophysics with Python

Introduction to Psychophysics with Python

A

Rakesh Sengupta, Maganti Madhavilatha

AI and ML
EN
Microsoft Azure in Action

Microsoft Azure in Action

A

Lars Klint

DevOps and Infrastructure
EN
AI-Enabled Apps with .NET MAUI: How to Build Cross-Platform .NET MAUI Apps with the Latest AI Capabilities

AI-Enabled Apps with .NET MAUI: How to Build Cross-Platform .NET MAUI Apps with the Latest AI Capabilities

A

Codrina Merigo

DevOps and Infrastructure
EN
BiteSize Python for Intermediate Learners: With Practice Labs, Real-World Examples, and Generative AI Assistance

BiteSize Python for Intermediate Learners: With Practice Labs, Real-World Examples, and Generative AI Assistance

A

Di Wu

AI and ML
EN
RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

A

Dominik Polzer

AI and ML
RU
Fundamentals of GraphRAG. Enhanced RAG Based on Knowledge Graphs

Fundamentals of GraphRAG. Enhanced RAG Based on Knowledge Graphs

A

Томаж Братанич, Оскар Хане

AI and ML
RU
Machine Learning Interview. 151 Questions from FAANG

Machine Learning Interview. 151 Questions from FAANG

A

Пенг Шао

Other
RU
Argo CD. Quick Start

Argo CD. Quick Start

A

Эндрю Блок, Кристиан Эрнандес

DevOps and Infrastructure
EN
Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered Solutions

A

Pramod Singh, James McKeone

AI and ML
RU
Coding Interview Patterns. Preparing for a Tough Technical Interview

Coding Interview Patterns. Preparing for a Tough Technical Interview

A

Алекс Сюй, Шон Гунавардан

IT management
RU
Apache Kafka in Action. From Basic Concepts to Production

Apache Kafka in Action. From Basic Concepts to Production

A

Анатолий Зеленин, Александр Кропп

DevOps and Infrastructure
EN
Python Made Easy: A Beginner’s Guide to Coding, Data Structures, and Practical Applications

Python Made Easy: A Beginner’s Guide to Coding, Data Structures, and Practical Applications

A

Marco Gähler

Programming languages
EN
Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

A

Dilyan Grigorov

AI and ML
EN
Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

A

Filippo Biscarini, Nelson Nazzicari

AI and ML
EN
Applied Engineering Mathematics with MATLAB and Python: From Theory to Practice

Applied Engineering Mathematics with MATLAB and Python: From Theory to Practice

A

Mohammad Heidarzadeh, Payam Khazaeinejad

Programming languages
EN
Image Processing with Python: Theory, Practice, and Applications

Image Processing with Python: Theory, Practice, and Applications

A

Erik Cuevas, Alma Nayeli Rodriguez-Vazquez, Beatriz A. Rivera-Aguilar, Jesús A. López-Luquín, Carlos Guzmán-Rosales

AI and ML
EN
Python for Mathematical Thinking

Python for Mathematical Thinking

A

Pradeep Singh, Balasubramanian Raman

Algorithms and theory
EN
Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems

Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems

A

Adrián González Sánchez, Jaime De Mora, Jorge García Ximénez

DevOps and Infrastructure
EN
Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python

Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python

A

Christopher W. Kulp, Vasilis Pagonis

Programming languages
EN
Practical Neural Networks in Python and MATLAB

Practical Neural Networks in Python and MATLAB

A

Chunwei Zhang, Tianpeng Li, Ying Dai, Li Sun, Ardashir Mohammadzadeh

AI and ML
EN
Python for Excel Users: A Beginner’s Guide

Python for Excel Users: A Beginner’s Guide

A

Chi-Chun Chou, David Wang

Other
RU
Claude Code: The Complete Guide to the AI Assistant for Developers

Claude Code: The Complete Guide to the AI Assistant for Developers

A

Ранас Мукминов

AI and ML
EN
Flutter for Beginners. Fourth Edition

Flutter for Beginners. Fourth Edition

A

Thomas Bailey, Alessandro Biessek

Software Development
EN
Generative AI on Kubernetes: Operationalizing Large Language Models

Generative AI on Kubernetes: Operationalizing Large Language Models

A

Roland Huß, Daniele Zonca

AI and ML
EN
Web Development with Django 6. Third Edition

Web Development with Django 6. Third Edition

A

Chris Guest, Mark Walker, Ben Shaw, Saurabh Badhwar, Bharath Chandra K S

WEB development
RU
Machine Learning. System Design from Idea to Implementation

Machine Learning. System Design from Idea to Implementation

A

Валерий Бабушкин, Арсений Кравченко

AI and ML
EN
Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

A

Kerem Tomak

AI and ML
RU
Mathematics and Architecture of Deep Learning

Mathematics and Architecture of Deep Learning

A

Кришнанду Чаудхури, Ананья Хоннедевастхана Ашок, Суджай Наруманчи, Девашиш Шанкар

Algorithms and theory
RU
System Design II. Distributed Systems. Preparing for a Hard Interview

System Design II. Distributed Systems. Preparing for a Hard Interview

A

Алекс Сюй, Сан Лэм

IT management
RU
Generative AI in Practice: Transformers and Diffusion Models

Generative AI in Practice: Transformers and Diffusion Models

A

Омар Сансевьеро, Педро Куэнка, Аполинарио Пассос, Джонатан Уитакер

AI and ML
RU
All About Python. The Most Up-to-Date and Comprehensive Guide

All About Python. The Most Up-to-Date and Comprehensive Guide

A

Фабрицио Романо, Генрих Крюгер

Programming languages
RU
Fundamental Approach to Software Architecture. Patterns, Properties, Proven Practices

Fundamental Approach to Software Architecture. Patterns, Properties, Proven Practices

A

Марк Ричардс, Нил Форд

Software Development
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