Category rules

How books are automatically distributed into themes and subcategories. Total rules: 108.

  • AI and ML
    • ChatGPT
      • Specifically ChatGPT, GPT-3/GPT-4 models, and working with the OpenAI API. General books on LLMs — in a separate LLM section.
    • Computer Vision
      • Computer Vision: object recognition, image processing, OpenCV.
    • Data Science
      • Data Science: data analysis, Big Data, visualization, dashboards, Power BI/Tableau, statistics, Bayesian methods, GIS, analytics and scraping. Books about databases themselves go to the "Databases" section.
    • LLM
      • Large language models (LLMs): Claude, Gemini, Copilot, LangChain, RAG systems, chatbots, conversational interfaces, generative AI.
    • Machine learning
      • General books on artificial intelligence. If the title explicitly mentions specific AI services or mathematics, the book will be placed in a more specialized section.
      • Classical machine learning: scikit-learn, random forests, XGBoost, clustering, reinforcement learning, feature engineering. Neural networks specifically are in a separate section.
    • Mathematics
      • Mathematics for AI and Programming: Numerical Methods, Linear Algebra, Differential Equations, Probability Theory, Quantum Computing, Game Theory.
    • MLOps
      • MLOps — deploying and operating machine learning models in production: Kubeflow, MLflow, ML pipelines.
    • Natural Language Processing
      • Natural Language Processing (NLP): sentiment analysis, entity extraction, text processing. Books specifically about LLMs (Claude, GPT) go into the LLM section.
    • Neural networks
      • Deep learning and neural networks: CNN, RNN, GAN, LSTM, transformer architectures. Books about specific frameworks (TensorFlow, PyTorch) belong to their respective sections.
    • PyTorch
      • Facebook/Meta PyTorch. Books on deep learning with PyTorch.
    • TensorFlow
      • Google TensorFlow and the high-level Keras wrapper. Books where the primary tool is TensorFlow.
    • 熊猫
      • Libraries for tabular data analysis in Python: Pandas, NumPy, DataFrame. Books about ChatGPT and similar LLMs are not included here.
  • Algorithms and theory
    • Algorithms
      • Algorithms: dynamic programming, graphs, sorting, greedy algorithms, Sedgewick's classics. Specifically theory and analysis of algorithms, not tied to a particular language.
    • Data Structures
      • Data structures: hash tables, trees, graphs. Theory not tied to a specific programming language.
    • Theory
      • Theoretical computer science: compilers and interpreters, automata theory, formal languages, DSL design, regular expressions, quantum computing, Computer Science in general.
  • Cybersecurity
    • Cryptography
      • Cryptography, encryption, OpenSSL. Specifically the mathematics and encryption protocols. Books about blockchain itself as a technology go into the "Blockchain" section.
    • Cybersecurity
      • General books on cybersecurity: information security, IDS, SIEM, firewall, SOC, darknet, cybercrime, information protection. Books on specific areas (pentest, cryptography, reverse engineering) go into their respective sections.
    • DevSecOps
      • DevSecOps — embedding security into DevOps pipelines. Secure development, security as code.
    • Kali Linux
      • Kali Linux and Parrot OS are specialized distributions for security and pentesting.
    • Penetration Testing
      • Penetration testing, ethical hacking, Metasploit, Burp Suite, CTF competitions, bug bounty, Black Hat.
    • Reverse Engineering
      • Reverse engineering, malware analysis, Ghidra, IDA Pro, disassembly.
    • Web Security
      • Web Application Security: OWASP, XSS, CSRF, SQL Injection, API Protection.
  • Databases
    • Cassandra
      • Apache Cassandra is a distributed columnar NoSQL database.
    • CockroachDB
      • CockroachDB is a distributed SQL database with strong consistency.
    • MongoDB
      • MongoDB is a document-oriented NoSQL database. Books on MongoDB, aggregations, document schemas.
    • NoSQL
      • Non-relational databases: Redis, Elasticsearch, DynamoDB, Neo4j and other graph and key-value stores.
    • PostgreSQL
      • PostgreSQL and its procedural language PL/pgSQL. Books specifically about this DBMS.
    • SQL
      • General books on SQL, relational databases, normalization, database theory and design. Also MySQL, MariaDB, SQLite. Books on specific PostgreSQL/Oracle/MS SQL — in their respective sections.
    • SQL Server
      • Microsoft SQL Server and T-SQL dialect. Books specifically about this DBMS from Microsoft.
    • Оракул
      • Oracle Database and its procedural language PL/SQL. Books specifically about Oracle as a DBMS.
  • DevOps and Infrastructure
    • Automation
      • Automation of server management: Ansible, Puppet, Chef, SaltStack, PowerShell.
    • AWS
      • Amazon Web Services: EC2, S3, Lambda. Also included here are general books on serverless architecture, as it is most often tied to AWS Lambda.
    • Azure
      • Microsoft Azure and its services.
    • CI/CD
      • Continuous Integration and Delivery: Jenkins, GitHub Actions, GitLab CI, ArgoCD. Books on build and deployment pipeline automation.
    • Docker
      • Docker, Podman, containerization. Books where the main topic is Kubernetes go to the Kubernetes section, not here.
    • Git
      • Git version control system, GitHub and GitLab services. Classics: Pro Git, Head First Git.
    • Google Cloud Platform
      • Google Cloud Platform (GCP) and its services.
    • Kafka
      • Apache Kafka and RabbitMQ are message exchange and data stream processing systems.
    • Kubernetes
      • Kubernetes and its ecosystem: Helm, Istio, OpenShift. Books about containers themselves without Kubernetes go to the Docker section.
    • Linux
      • Linux Administration: server, bash/shell scripting, systemd, SysAdmin tasks. Books on the Linux kernel — in the "OS and System / Linux" section.
    • Monitoring
      • Monitoring and observability: Prometheus, Grafana, ELK stack. This also includes Site Reliability Engineering (SRE) and log analysis.
    • Terraform
      • Infrastructure as Code (IaC): Terraform, Pulumi. Books on declarative description of cloud infrastructure.
  • Embedded systems
    • 3D Printing
      • 3D printing and additive technologies.
    • Arduino
      • Arduino Platform: board, IDE, firmware, DIY projects on Arduino.
    • Electronics
      • General electronics, circuit design, hardware, digital signal processing (DSP).
    • IoT
      • Internet of Things (IoT): smart home, smart city, intelligent transportation systems. Books about specific boards (Arduino, Raspberry Pi) go into their own sections.
    • micro:bit
      • micro:bit training board for learning programming.
    • Microcontrollers
      • Real-time systems, hard real-time systems, RTOS. The rule triggers only on the title, to avoid catching general mentions of "real-time" in descriptions.
    • Raspberry
      • Raspberry Pi and projects based on it.
  • Game development
    • Blender
      • Blender and ZBrush — 3D modeling, goes to Games/Blender as the closest
    • Game Design
      • Game design, level design, narrative design — the creative side of game development, not programming.
    • Games
      • General game development books: sprites, collision detection, video game creation — without tying to a specific engine.
    • Other engines
      • Other game engines and graphics APIs: Godot, GameMaker, MonoGame, DirectX, OpenGL, Vulkan.
    • Unity
      • Unity game engine. Books on unit testing do not belong here—they fall under the "Software Testing" section.
    • Unreal Engine
      • Unreal Engine (UE4, UE5), including visual scripting Blueprints.
  • IT management
    • Career
      • Career in IT: growth from junior to senior, the engineer's path, interviews, soft skills, life in Silicon Valley. Books on personal development and professional trajectory.
    • Jira
      • Atlassian Jira and Confluence are task management and documentation tools.
    • Methodologies
      • Development and project management methodologies: Agile, Scrum, Kanban, SAFe, team management, remote teams, acceptance testing, corporate culture. Books on organizing processes and people, not code.
    • Software Architecture
      • Software architecture: clean code, design patterns, SOLID, DDD, refactoring, distributed systems, object-oriented design, classics (The Mythical Man-Month, 97 Things Every Programmer Should Know, The Pragmatic Programmer). The rule applies only to titles, to avoid capturing books where these terms are merely mentioned in the description.
    • Software Testing
      • Software Testing: TDD, unit tests, Selenium, Cypress, Playwright, automated tests, QA, code review, usability testing, ISTQB certification. The rule works by name only.
  • OS and System
    • Active Directory
      • Active Directory and Windows Server — corporate Windows administration.
    • iOS
      • Internal structure of iOS and macOS. Specifically about system programming for Apple, not about the Swift language (it belongs in "Programming Languages / Swift").
    • Linux
      • Internal structure of Linux and operating systems in general: Linux kernel, Linux internals, OS theory. Linux server administration — in the "DevOps / Linux" section.
    • Networks
      • All networking books (including 5G) — into one subcategory Networks
    • System Programming
      • System programming, system calls, OpenCL, CUDA. If the title explicitly mentions a specific language, the book goes into that language's section, not here.
    • Windows
      • Windows as an OS (10, 11, internals). Windows Server → Active Directory.
    • x64 Assembler
      • x86/x64 Assembler — low-level programming for Intel/AMD processors. General books on assembler without specifying the architecture are in "Programming Languages / Assembler".
  • Programming languages
    • Assembler
      • Assembly language in general — as a language and as a concept. Books specifically about x86/x64 assembly fall under the section "OS and System / x64 Assembly".
    • Blockchain
      • Blockchain, Bitcoin, Ethereum, smart contracts. The rule triggers only by the title, so as not to include books where crypto is mentioned only as an example.
    • C
      • C language — ANSI C, standards C99/C11/C17, system programming in pure C. Books about C++, C#, Objective-C do not belong here.
    • C#
      • C# language and related .NET infrastructure: CLR, LINQ, Entity Framework, Xamarin, WPF. Books on ASP.NET/Blazor go to the "WEB DEVELOPMENT" section, books on Unity go to "GAME DEVELOPMENT".
    • C++
      • C++ Latin and Cyrillic + Classics (Stroustrup, Meyers)
    • Delphi
      • Delphi and Object Pascal are a programming environment and language from Borland/Embarcadero.
    • General
      • General "programming" books without an explicit language
    • Go
      • Go Language (Golang): goroutines, concurrency, Effective Go, Ultimate Go. This category includes books on cloud development in Go as well.
    • Haskell
      • Functional language Haskell.
    • Java
      • Java language, JVM, Effective Java. Old-style Android development (without Kotlin). Books on Spring Boot/Framework — in "WEB Development / Spring Boot". Android on Kotlin — in "Programming Languages / Kotlin".
    • JavaScript
      • JavaScript and TypeScript language itself: ECMAScript, Eloquent JavaScript. Books about specific frameworks (React, Vue, Angular, Svelte, Node.js, jQuery) fall into their respective "WEB DEVELOPMENT" sections.
    • Kotlin
      • Kotlin and Android development in Kotlin. Android books without explicit mention of Java also fall into this category, since Kotlin is the primary language for Android today.
    • Lua
      • The Lua scripting language is popular in games and embedded scripts.
    • Other Languages
      • All languages that do not have a separate subcategory: Elixir, Clojure, Erlang, Scala, F#, Fortran, COBOL, Lisp, Prolog, MATLAB, OCaml, Racket, Visual Basic, 1C and others, as well as logic programming.
    • Pascal
      • Pascal, Free Pascal, Turbo Pascal. Books about Delphi belong to a separate Delphi section.
    • Perl
      • Perl language.
    • PHP
      • PHP language itself. Books about Laravel, Symfony, WordPress, Drupal and other PHP frameworks go to the "WEB DEVELOPMENT / PHP" section.
    • Python
      • Python language itself: tutorials "Learning Python", Fluent Python, Effective Python. Books about Django/Flask, machine learning, Pandas, web scraping, networking, finance, etc. that mention Python belong in their subject sections, not here.
    • R
      • The R language for statistics and data analysis, the tidyverse package. Books about R as a programming language.
    • Ruby
      • The Ruby language itself. Books about Ruby on Rails relate to web development.
    • Rust
      • The Rust language itself. Books on network or web programming in Rust fall under their respective subject sections — Rust is just a tool there.
    • Swift
      • Swift language and SwiftUI, development for Apple platforms. Books about iOS internals belong to the "OS and System / iOS" section.
  • WEB development
    • Angular
      • Angular and RxJS. Books about the first version of AngularJS and modern Angular are both included here.
    • ASP.NET Core
      • ASP.NET, Blazor, MAUI — Microsoft web frameworks. Books simply about .NET (.NET 8, etc.) relate to the C# language, not here.
    • CSS
      • CSS, Bootstrap, Tailwind, and other styling. The book "Django + Bootstrap" refers to Django, not here — the main topic is more important than the design.
    • Django
      • Django framework. Books about Python itself as a language are not included here — they belong to the "Programming Languages / Python" section.
    • FastAPI
      • Python frameworks FastAPI, Flask, Starlette are modern tools for APIs and web applications in Python.
    • Flutter
      • Flutter, Dart language, cross-platform Ionic. Mobile and web development on these stacks.
    • Full-Stack
      • Web Components — standard browser model, Shadow DOM, Lit and Stencil libraries.
      • General "web design", "web programmer" — into Full-Stack, not into CSS
      • General books on frontend development, client-side architecture, Storybook, and related topics — without ties to a specific framework.
      • General books on full-stack, REST API, GraphQL, microservices, web accessibility (a11y), SEO, voice interfaces, landing pages. Everything about the web in general, without tying to a specific framework or language.
    • HTML
      • HTML layout. If a book covers both HTML and CSS, it goes to the CSS section as a broader topic of styling.
    • JavaScript
      • Working with DOM and Browser API from JavaScript. Books without frameworks, dedicated specifically to the browser API.
      • jQuery — in Web/JavaScript, not in Languages/JavaScript
    • Node.js
      • Node.js and server-side frameworks for JavaScript: Express, NestJS, Deno. Also included — package managers npm, yarn, pnpm.
    • PHP
      • PHP frameworks go to WEB. The PHP language itself goes to Languages/PHP
    • React
      • React and its ecosystem. React Native — mobile, but still React
    • Spring Boot
      • Spring Boot, Spring Framework, Spring Cloud, Spring Security, Spring MVC — the Spring ecosystem for Java web. The Java language itself is in the "Programming Languages / Java" section.
    • Vue.js
      • Vue.js and its ecosystem: Nuxt, Vuex. All books about Vue development go here.