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Category: "Computer Science"

Computer Science

  1. Mastering STM32 - Second Edition
    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.

  2. The Hundred-Page Machine Learning Book

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

  3. Why We Still Suck At Resilience
    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.

  4. The Hundred-Page Language Models Book
    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. The Agentic AI book
    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 predict failure before it happens, engineer graceful degradation over catastrophic failure, and take absolute architectural ownership. Get the paperback from amazon.

  6. Build Your Own Database in Go From Scratch
    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. Discrete Mathematics for Computer Science
    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.

  8. Naming Things
    Naming Things
    The Hardest Problem in Software Engineering
    Tom Benner

    Naming is one of the most difficult and enduring challenges in software engineering, but few of us do it well. This practical and comprehensive book provides a set of principles, rules, and application guidelines for efficiently choosing good names in your code.

  9. From Source Code To Machine Code
    From Source Code To Machine Code
    Build Your Own Compiler From Scratch
    build-your-own.org

    Build a compiler to learn how programming languages work. Use low-level assembly to learn how computers work. Walks through a minimal yet complete compiler. Compiles a static-typed language into x64 ELF executables.Simple interpreter.Bytecode compiler.x64 assembly & instruction encoding.Translate bytecode to x64 code.Generate binary executables.

  10. Ace the Trading Systems Engineer Interview (C++ Edition)
    Ace the Trading Systems Engineer Interview (C++ Edition)
    Insider's Guide to Top Tech Jobs in Finance
    Dennis Thompson and Jeff Vogels

    Top 3 reasons why a software engineer might be interested to work at capital markets firms1) work with top Hedge Funds, Investment Banks, HFT firms, Algorithmic Trading firms, Exchanges, etc.2) implement smart algorithms and build low-latency, high-performance and mission-critical software with talented engineers3) earn top compensation

  11. Fundamentals of Computer Vision
    Fundamentals of Computer Vision
    A gentle, accessible introduction to foundational concepts in computer vision and computational perception.
    George K

    Have you ever been curious about how your phone unlocks when it sees your face, how a camera can track people and objects in a video, how humans see depth, or how computers can differentiate dogs from cats? This book will start from the basics of image manipulation and build up to cover all of these topics, and more!

  12. Fundamentals of Computer Vision
    Fundamentals of Computer Vision
    A gentle, accessible introduction to foundational concepts in computer vision and computational perception.
    George K

    Have you ever been curious about how your phone unlocks when it sees your face, how a camera can track people and objects in a video, how humans see depth, or how computers can differentiate dogs from cats? This book will start from the basics of image manipulation and build up to cover all of these topics, and more!

  13. My Adventures with Large Language Models
    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.

  14. Business Analysis & Requirements Engineering
    Business Analysis & Requirements Engineering
    Innovating Your Products and Processes For Sustainable Success
    Peter Hruschka

    We can find a solution to every problem – if we can agree on what exactly the problem is. Understanding problems and communicating requirements is the subject of this book. Many different terms are used for this (business analysis, system analysis, requirements engineering, etc.) and there are many job titles for those involved. Business analysis and requirements engineering are two sides of the same coin: as an entrepreneur, you want to streamline your organizational and operational structures and make them more effective. As a product developer, you want to find unique selling points for your existing or new products, whether it's price, quality, or performance. As an IT department, you want to understand these requirements in order to deliver great products and systems. This book presents a pragmatic and agile approach to dealing with requirements. It provides you with methods, notations, and many practical tips for effectively handling requirements between clients and contractors.

  15. Continuous Delivery Pipelines
    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.