Books 
The number after the book name stands for the year in which the book was written in. All books are put in their respective category and are sorted from newest to oldest. π/π before the books show if the book is free or not.
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Algorithms
Architecture
Art
Autobiography
Awareness
Basic Income
Biographies
Biology
Business
Category theory
Chemistry
Compilers
Computational complexity
Computer graphics
Computer networking
Computer science
Computer Systems
Creativity
Cybernetics
Cryptography
Cryptocurrencies
Data Science
Databases
Design
Drugs
Economics
Engineering
Evolution
Environment
Fiction
Adventure
Comedy
Fantasy
Fantasy series
Short Stories
Thriller
Film Making
Finance
Fitness
Functional programming
Future
Game Development
Graphic design
History
Alternative history
Investing
Kubernetes
Leadership
Logic
Machine learning
- π Paradigms of artificial intelligence programming (1991)
- π Artificial intelligence a modern approach (1994)
- π Machine learning (1997)
- π The quest for artificial intelligence - a history of ideas and achievements (2009)
- π Introduction to artificial intelligence (2011)
- π Machine learning: a probabilistic perspective (2012)
- π The Nature of Code (2012)
- π Superintelligence: paths, dangers, strategies (2014)
- π Understanding machine learning: from theory to algorithms (2014)
- π Neural Networks and Deep Learning (2015)
- π Deep Larning with Python (2017)
- π Tensorflow machine learning cookbook (2017)
- π Hands-On Machine Learning with Scikit-Learn and TensorFlow (2017)
- π Machine Learning with Go (2017) - Build simple, maintainable, and easy to deploy machine learning applications.
- π Interpretable Machine Learning (2018)
- π Deep learning
- π Interpretable machine learning (2018) - Explaining the decisions and behavior of machine learning models.
- π How Machine Learning Works (2019)- An introduction to both MLβs practice and math foundations in a non-threatning approach.
- π Grokking Deep Learning (2019)
- π MachineLearningWithTensorFlow2ed (2020) - Book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement learning, auto encoders, convolutional neural networks, RNNs, LSTMs, using TensorFlow 1.14.1.
- π Machine Learning Bookcamp (2020) - Project-based approach to learning machine learning.
- π Trust in Machine Learning (2021) - Book about how to build machine learning systems that are explainable, robust, transparent, and optimized for fairness.
Management
Math
Memoirs
Mindset
Minimalism
Music production
Neuroscience
Non Fiction
Nutrition
Operating Systems
iOS
Linux
MacOS
Philosophy
Physics
Poetry
Politics
Programming interviews
Programming language design
Programming languages
Assembly
C
C++
Clojure
D
Go
Haskell
Java
JavaScript
Kotlin
Lisp
OCaml
Perl
PowerShell
Prolog
Purescript
Python
R
ReasonML
Ruby
Rust
Scala
Smalltalk
Swift
TypeScript
Agda
Programming
- π The art of computer programming (1968-)
- π The psychology of computer programming (1971)
- π The elements of programming style (1974)
- π Software reliability: principles and practices (1976)
- π Structure and interpretation of computer programs (1979)
- π Mindstorms: children, computers, and powerful ideas (1980)
- π Communicating sequential processes (1985)
- π The art of the metaobject protocol (1991)
- π Code: hidden language of computer hardware and software (1999)
- π The pragmatic programmer (1999)
- π The practice of programming (1999)
- π Refactoring (1999)
- π How to design programs (2001)
- π Computer Systems: A Programmerβs Perspective (2002)
- π Inside the machine (2006)
- π Clean code (2008)
- π Design concepts in programming (2008)
- π Apprenticeship patterns (2010)
- π The art of readable code: simple and practical techniques for writing better code (2011)
- π Programming in the large with design patterns (2012)
- π Dynamic Programming and Optimal Control (2012)
- π The Software Craftsman: Professionalism, Pragmatism, Pride (2014)
- π How These Things Work (2016)
- π Introduction to the Theory of Complex Systems (2018)
- π Composing programs
- π Designing APIs with Swagger and OpenAPI (early-access)
- π API Design Patterns
- π Street Coder (2021) - Programmerβs survival guide, full of tips, tricks, and hacks that will make you a more efficient programmer.
- π Good Code, Bad Code (2021) - Book about writing code that is robust, reliable, and easy for team members to understand and adapt.
- π Software Mistakes and tradeoff: How to make good programming decision (2021) - Optimize the decisions that define your code by exploring the common mistakes and intentional tradeoffs made by expert developers.
- π Parallel and High_performance Computing (2021) - A book that offers techniques guaranteed to boost your codeβs effectiveness.
Psychedelics
Psychology
Quantum physics
Regular Expressions
Reinforcement learning
Reverse engineering
Science
Scifi
SciFi Series
Security
Sleep
Society
Spirituality
Startups
Statistics
Strategy
Text editors
Vim
Type theory
Unix
Version control
Git
Visualization
Writing
Web Development
CSS
Node
React
Redux
Webpack
Web design
Other
