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Category: "Computer Science"

Books

  1. 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!

  2. 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.

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

  4. 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.

  5. 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.

  6. Mastering Modern Time Series Forecasting
    A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python (Preorder)
    Valery Manokhin

    Mastering Modern Time Series Forecasting is your all-in-one guide to building real-world forecasting systems that work — from classical stats to deep learning and beyond. Whether you're modeling retail demand or energy loads, this book gives you the tools, intuition, and code to go from zero to production. You'll cover ARIMA, ML, deep nets, transformers, and even the rise of FTSMs (Foundational Time Series Models). Written by a practitioner who’s built forecasting solutions for multibillion-dollar businesses, this is the hands-on, honest guide every data scientist, analyst, or forecaster needs.

  7. 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.

  8. Super Study Guide: Algorithms & Data Structures
    Afshine Amidi and Shervine Amidi

    A concise, illustrated guide to algorithms and data structures, perfect for coding interviews, classes, or self-study. Covers key concepts, from fundamentals to graphs, trees, sorting, and search techniques.

  9. Wired Protocols in Embedded Systems
    A Comprehensive Guide to Wired Embedded Protocols
    Aliaksandr Kavalchuk

    "Wired Protocols in Embedded Systems" is your essential guide to understanding how wired communication works in embedded systems. From UART and SPI to I²C and CAN, this book explains the core principles, advantages, and limitations of each protocol. Whether you're an embedded engineer, firmware developer, or Arduino enthusiast, you'll gain the knowledge needed to choose and implement the right protocol for your project.

  10. 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.

  11. 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.

  12. Certainty by Construction
    Software and Mathematics in Agda
    Sandy Maguire
    No Description Available
  13. The Code Monster Manual Vol. 0
    Escape From Number Hell
    Kevin Focke

    Low-level coding fundamentals, the book I wish I had.Improve your backend programming by learning the nuances of numbers & their representations. Not a math wizard? No problem!

  14. C From Scratch
    Prove it works before you write it.
    William Murray

    Learn C by proving your code correct before you write it. The same methodology behind certified aerospace and medical systems - now applied to learning C from the ground up.

  15. 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.