Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY ๐Ÿ˜Š๐Ÿ˜Š๐Ÿ˜Š๐Ÿ˜Š

Last updated Aug 11, 2026
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README

โœจ Comprehensive Study Resources โœจ

A curated collection of books and references for Computer Vision, Machine Learning, Deep Learning, NLP, Python, and more.
A collection of more than 200+ programming ebooks at one place at no cost

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Before We Dive In, Here Are Some Cool Sites You Should Visit at Least Once

(*a small collection of links shared by Marian covering ML, DL, DevOps, and LLM tools.)

Roadmap for AIML (Beginners)

If you prefer everything in a proper blog format, Iโ€™ve written detailed guides that cover:
  • where to start ?
  • what exact topics to focus on ?
  • and how to progress in the right order
Roadmap guide (Part 1): Roadmap : AIML | Medium
Detailed topics breakdown (Part 2): Roadmap 2 : AIML | medium

Symbol Table

| Symbol | Meaning | | :----: | :---------------------------------------------- | | ๐ŸŒŸ | Highly recommended / Must-read |

Cheatsheets

1) Machine Learning Cheatsheet

Computer Vision (CV)

1) Autoencoders and GANS 2) Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python* by Jason Brownlee.pdf) 3) deep learning for vision systems 4) Deep Learning For Computer Vision python 5) Generative Deep Learning - Teaching Machines to Paint, David Foster, Applied Data Science.pdf) 6) mastering matploitlib 7) Michael Avendi - PyTorch Computer Vision Cookbook Over 70 recipes to solve computer vision and image processing problems using PyTorch%20-%20libgen.lc.pdf) 8) OpenCV Computer Vision Projects with Python.pdf) 9) Opencv Ref 10) OpenCV with Python Blueprints 11) Using Stable Diffusion with Python

EthicalHacking

1) Gray hat Python Python programming for hackers and reverse 2) Hacking APIs Breaking Web Application Programming Interfaces Corey 3) Justin Seitz Black Hat Python Python Programming for Hackers and 4) Network Programming in Python The Basic A Detailed Guide to Python 5) python cybersecurity for offence and defense 6) Python Ethical Hacking from scratch 7) Python for OSINT 8) The Hardware Hacking Handbook 9) The Art of Network Penetration Testing How to Take Over Any Company

Extra_Special

1) Fluent Python ๐ŸŒŸ

Js_Books

1) Beginning Nodejs 2) Practical Node Js

Lang-Other

C / C++ Books

1) Intermediate C Programming 2) C++ Primer (5th Edition, 2013) 3) Professional C++ 4) Expert C++

JavaScript / TypeScript / Web / ML Books

1) React Brochure 2) Unpacking Intermediate JavaScript 3) Text Processing with JavaScript 4) You Donโ€™t Know JS: Async & Performance 5) You Donโ€™t Know JS: ES6 & Beyond (Kyle Simpson) 6) Effective TypeScript 7) Learning TensorFlow.js (Gant Laborde)


Mix-Uncategorized

11) 2015 Book DataMining 2) 25 most popular Python scripts for network security 3) Attacks, Defenses and Testing for Deep Learning 4) Automate The Boring Stuff With Python 5) Build a Backend REST API with Python Django - Beginner 6) Building Python Web APIs with FastAPI 7) Building Modern GUIs with Tkinter and Python Building user friendly 8) ChatGPT Prompts Book (2024).pdf) 9) Cybersecurity Architect s Handbook 10) fastApi modern web dev 11) Hands on python web scraping 12) Hypermodern Python Tooling 13) Justin Seitz Black Hat Python Python Programming for Hackers and 14) Learning GraphQL by Eve Porcello, Alex Banks (2018).pdf) 15) Learning TypeScript Enhance Your Web Development Skills Using Type 16) make python talk speech recognition 17) Mark Liu Make Python Talk Build Apps with Voice Control and Speech 18) PYQT5 19) Python GUI Automation for Beginners 20) Python Testing with pytest by Brian Okken 21) Python Concurrency with asyncio Matthew Fowler 22) tkinter-gui-programming-example 23) TkinterWidgets 24) Visual Analytics with Tableauยฎ 25) Visualising Quantum Mechanics with Python 26) [[OReilly] - Programming Python, 4th ed - [Lutz]](https://github.com/Rishabh-creator601/Books/blob/master/python_books/[O%60Reilly]%20-%20Programming%20Python,%204th%20ed.%20-%20[Lutz].pdf%20(%20PDFDrive%20).pdf)

<ins>ML-DL-Broad</ins>


<ins> Natural Language Processing (NLP) </ins>

1) 1 starter ๐ŸŒŸ 2) 2 The Handbook of NLP with Gensim ๐ŸŒŸ 3) [3 only half book [spacy]](https://github.com/Rishabh-creator601/Books/blob/master/NLP/SEQUENCESETBOOKS/3.%20only%20half%20book%20[spacy].pdf) 4) 4 NlP Bert and transformers ๐ŸŒŸ 5) 5 Python Transformers By Huggingface Hands On- 101 practical Joshua K Cage ๐ŸŒŸ.pdf) 6) 6 Natural Language Processing in Action Understanding, analyzing, and generating text with Python.pdf) 7) [7 [NLP] Natural Language Processing with PyTorch (2019)](https://github.com/Rishabh-creator601/Books/blob/master/NLP/SEQUENCESETBOOKS/7.%20%20[NLP]%20Natural%20Language%20Processing%20with%20PyTorch%20(2019).pdf) 8) [chatbot project [extra]](https://github.com/Rishabh-creator601/Books/blob/master/NLP/SEQUENCESETBOOKS/chatbot%20project%20[extra].pdf) 9) Intermediate Nlp 10) [Just read [NO Code ]](https://github.com/Rishabh-creator601/Books/blob/master/NLP/SEQUENCESETBOOKS/Just%20read%20[NO%20Code%20].pdf) 11) Nlp easy math Book

<ins> Non_Foundation-Theorybooks </ins>

1) Nine Algorithms that Changed the Future The Ingenious Ideas that 2) Programming Languages 3) Quantum Computing 4) Quantum Machine Learning 5) Statistical Prediction and Machine Learning 6) The Internet Book Everything You

<ins> Old_Gold </ins>

1) 30 books 2) How to Talk to Anyone 92 Little Tricks for Big Success in Relationships by Leil Lowndes 3) Influence The Psychology of Persuasion.pdf)

<ins>Python_Books</ins>


Ref

1) 50-useful-python-scripts-free-pdf (3).pdf) 2) Machine learning ref 3) Numpy Reference 4) Opencv Ref ๐ŸŒŸ 5) Regression only 6) Tutorials on Machine learning & Deep-Learning 7) Very very good python ref for all fields ๐ŸŒŸ

Reinforcement_Learning

1) Book Reinforcement Learning - With Open AI, TensorFlow and Keras Using Python 174 Pages 2018 2) Deep Reinforcement Learning Hands-On 3) Deep Reinforcement Learning with Python (2024).pdf) 4) Reinforcement Learning An introduction (Second Edition) by Richard S Sutton and Andrew G Barto%20by%20Richard%20S.%20Sutton%20and%20Andrew%20G.%20Barto.pdf)

Roadmaps ๐ŸŒŸ

1) 2024 Backend Roadmap - Light 2) 2024 Frontend Roadmap - Light 3) CampusX DLCV Course Syllabus 4) CampusX DSMP 2 0 Syllabus 5) dsmp notes 1 6) dsmp notes 2 7) full stack edureka 8) GenAI Pinnacle Program project 9) Learning-Path 10) Statistics For Data Science Resources

Maths

1) Calculus.pdf) 2) Precalculus.pdf) 3) precalculus-mathematics-for-calculus-6th-edition-pdf.pdf)

Stats


Theory_Books

1) Deep learning book 2) Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville.pdf) 3) dive into DL ๐ŸŒŸ 4) ESLR 5) Foundations of Statistical Natural Language Processing - Christopher D Manning 6) ISLP 7) ISLR
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