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Category: "Computer Science"

Books

  1. Why We Still Suck At Resilience
    Organizational Dynamics
    Adrian Hornsby

    Your organization does all the right things. They practice chaos engineering, GameDays, and load testing. They conduct incident reviews and operational readiness reviews. Yet the same types of incidents keep recurring. This book examines why resilience practices so often fail to build resilience, revealing the organizational dynamics that systematically transform learning mechanisms into compliance theater and what you can do to navigate them consciously.

  2. Mastering STM32 - Second Edition
    A step-by-step guide to the most complete ARM Cortex-M platform, using the official STM32Cube development environment
    Carmine Noviello

    With more than 1200 microcontrollers, STM32 is probably the most complete ARM Cortex-M platform on the market. This book aims to be the most complete guide around introducing the reader to this exciting MCU portfolio from ST Microelectronics and its official CubeHAL and STM32CubeIDE development environment.

  3. Everything you really need to know in Machine Learning in a hundred pages.

  4. The Hundred-Page Language Models Book
    hands-on with PyTorch
    Andriy Burkov

    Master language models through mathematics, illustrations, and code―and build your own from scratch!

  5. Code a database in 45 steps (Go)
    a series of test-driven small coding puzzles
    Lowram Eepson

    This series of test-driven small coding puzzles lets you code a database from scratch (no dependencies).We'll cover KV storage engines, LSM-Tree indexes, SQL, concurrent transactions, ACID, etc.

  6. Build Your Own Database in Go From Scratch
    From B+tree to SQL in 3000 lines
    build-your-own.org

    Learn databases from the bottom up by coding your own, in small steps, and with simple Go code (language agnostic).Atomicity & durability. A DB is more than files!Persist data with fsync.Crash recovery.KV store based on B-tree.Disk-based data structures.Space management with a free list.Relational DB on top of KV.Learn how tables and indexes are related to B-trees.SQL-like query language; parser & interpreter.Concurrent transactions with copy-on-write data structures.

  7. Thinking with Types
    Type-Level Programming in Haskell
    Sandy Maguire

    This book aims to be the comprehensive manual for type-level programming. It's about getting you from here to there---from a competent Haskell programmer to one who convinces the compiler to do their work for them.

  8. The Agentic AI book
    From Language Models to Multi-Agent Systems
    Dr. Ryan Rad

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

  9. My Adventures with Large Language Models
    Build foundational LLMs from Transformers to DeepSeek, from scratch, in PyTorch.
    Prathamesh S.

    Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.

  10. Discrete Mathematics for Computer Science
    Alexander S. Kulikov, Alexander Golovnev, Alexander Shen, Vladimir Podolskii, and Marie Brodsky

    This book supplements the DM for CS Specialization at Coursera and contains many interactive puzzles, autograded quizzes, and code snippets. They are intended to help you to discover important ideas in discrete mathematics on your own. By purchasing the book, you will get all updates of the book free of charge when they are released.

  11. Continuous Delivery Pipelines
    How to Build Better Software Faster
    Dave Farley

    This practical handbook provides a step-by-step guide for you to get the best continuous delivery pipeline for your software.

  12. The Computer Science Book
    For self-taught developers
    Tom Johnson

    Learn the computer science foundations you need to jump start your career. New second edition with expanded content and new chapters on machine learning, deep learning and AI & LLMs. Thirteen chapters covering all the career-essential topics. Perfect for self-taught developers or anyone who wants to really understand how computers work.

  13. The Road to React
    The React.js in JavaScript Book (2025 Edition)
    Robin Wieruch

    https://www.roadtoreact.com

  14. Build Your Own Redis with C/C++
    Network programming, data structures, and low-level C.
    build-your-own.org

    Build real-world software by coding a Redis server from scratch.Network programming. The next level of programming is programming for multiple machines. Think HTTP servers, RPCs, databases, distributed systems.Data structures. Redis is the best example of applying data structures to real-world problems. Why stop at theoretical, textbook-level knowledge when you can learn from production software?Low-level C. C was, is, and will be widely used for systems programming and infrastructure software. It’s a gateway to many low-level projects.From scratch. A quote from Richard Feynman: “What I cannot create, I do not understand”. You should test your learning with real-world projects!

  15. JavaParser: Visited
    Analyse, transform and generate your Java code base
    Nicholas Smith, Danny van Bruggen, and Federico Tomassetti

    In this book key contributors to the JavaParser library teach you how to programmatically analyse, transform and generate your java code base. The first part of the book aims to introduce you to the basics of the library before the team take you through a more detailed look at some of their favourite applications of the library.