Books

  1. #1

    The Hundred-Page Language Models Book

    Andriy Burkov

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

  2. #2
  3. #3

    Generative AI in a Nutshell

    Henrik Kniberg

    Welcome to the strange new world of Generative AI! This book is a fast-paced, practical, and mostly human-written guide to what the heck is going on, and what you can do about it. It is like an extended version of Henrik's viral video with the same name.

    This book covers questions like: What is generative AI? How does it work? How do I use it? What are some of the risks & limitations? It also covers topics like how to lead an AI transformation, autonomous agents, the role of us humans, prompt engineering tips, AI-powered product development, different types of models, and some tips about mindset and how not to freak out.

    Everything is explained in plain English with Henrik's signature hand-drawn illustrations and concrete real-life examples. Minimum use of jargon and buzzwords.

    Don't just survive the Age of AI — learn how to thrive in it!

  4. #4

    Build Your Own Database in Go From Scratch

    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.
  5. #5
  6. #6

    The Hundred-Page Machine Learning Book

    Andriy Burkov

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

  7. #7
  8. #8

    The Object Oriented Way

    Christopher Okhravi (PhD)

    🐤💲 Early bird SALE RIGHT NOW 💲🐤

    (Note: The book is not done, but you can buy and read it now. It will be more expensive later.)

    How do we solve problems using objects?

    That question is the north star of this book. While we happen use C# for all examples in this book, that language is merely a means and not an end. The purpose of this book is to teach the *fundamental ideas in contemporary object oriented programming*.

    Who is this book for?

    Whether you are a complete novice or a seasoned coder looking to grow, this book is your roadmap to mastering contemporary object orientation. From simple topics like syntax and types all the way to advanced concepts like design patterns and variance.

    Why objects?

    I believe that the functional way is superior to the object oriented way. So why study objects? Before we criticise the other side, we must understand their arguments better than they do themselves. This book is my attempt at steel-manning the object oriented way, once and for all.

  9. #9

    Node-OPCUA by example Edition 2024

    Etienne Rossignon

    Dive into 'Node-OPCUA' and explore the world of industrial protocols with the author's proven recipes. Learn how to build exceptional OPC UA clients and servers through hands-on examples, elevating your industrial programming expertise from basic to advanced levels. This guide is key to mastering Node-OPCUA in JavaScript and TypeScript.

  10. #10

    Building Large Scale Web Apps

    Addy Osmani and Hassan Djirdeh

    In this book, you'll uncover strategies that industry professionals use to build scalable, performant, and maintainable React applications, all without becoming overwhelmed by complexity.

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