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linsa-io/books

★ 7,371Audience · generalComplexity · 1/5Setup · easy

TLDR

A community-maintained list of book recommendations across technical and non-technical topics, algorithms, machine learning, programming languages, philosophy, history, and more, with free or paid status marked for every entry.

Mindmap

mindmap
  root((repo))
    What it does
      Curated book list
      Free and paid marked
    Technical topics
      Algorithms
      Machine learning
      Programming languages
      Security
    Non-technical topics
      Philosophy
      History
      Finance
      Fiction
    How to use
      Browse by category
      Click to read or buy
      Contribute new picks
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

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Things people build with this

USE CASE 1

Browse curated book picks in algorithms, machine learning, or Rust to find your next technical read with no cost if you filter by free entries.

USE CASE 2

Find free online books in security, databases, or operating systems that you can start reading immediately without spending money.

Getting it running

Difficulty · easy Time to first run · 5min
No license information was mentioned in the explanation.

In plain English

This repository is a curated reading list, nothing more and nothing less. It collects book recommendations across a very wide range of subjects and organizes them into labeled categories so you can browse to whatever interests you. Each entry shows the book title, the year it was published, and a small icon indicating whether the book is free to read online or requires a purchase. The subject coverage is broad enough to span both technical and non-technical interests. On the technical side you will find sections for algorithms, computer science, machine learning, programming languages (including Go, Python, Rust, JavaScript, Haskell, and many others), databases, security, operating systems, and web development. On the non-technical side there are sections for biographies, history, philosophy, psychology, fiction, science fiction, finance, fitness, neuroscience, music production, and writing, among others. There is no software to install or run. The repository is simply a Markdown file that lists links. Clicking a book title takes you to a Goodreads page, an Amazon listing, or in some cases a free PDF or website where the full text is available at no cost. The free or paid status is shown consistently for every entry, which makes it easy to find what you can read immediately without spending money. This kind of repository is sometimes called an "awesome list" in the GitHub community, meaning a community-maintained reference document rather than a software project. Anyone can suggest additions through the contribution guidelines included in the repository. The list is sorted newest to oldest within each category. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1
From the linsa-io/books list, which free books cover Rust and systems programming? List the titles and where to read them online.
Prompt 2
I want to learn machine learning from books. From the linsa-io/books list, which titles are free and which require a purchase?
Prompt 3
Suggest a reading path using books from the linsa-io/books list for someone who knows basic Python and wants to move into data science.
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