Books
Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY ๐๐๐๐
Last updated Aug 11, 2026
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README
โจ Comprehensive Study Resources โจ
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

Before We Dive In, Here Are Some Cool Sites You Should Visit at Least Once
- Goal Kicker
- RoadMap.sh
- MlCourse.ai - classic ml
- dl2.ai - Main DL concepts with clear explanation and practical implementation
- Devops for DataScience
- for LLMS Enthusiasts
Roadmap for AIML (Beginners)
If you prefer everything in a proper blog format, Iโve written detailed guides that cover:- where to start ?
- what exact topics to focus on ?
- and how to progress in the right order
Detailed topics breakdown (Part 2): Roadmap 2 : AIML | medium
Symbol Table
| Symbol | Meaning | | :----: | :---------------------------------------------- | | ๐ | Highly recommended / Must-read |
Cheatsheets
1) Machine Learning CheatsheetComputer 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 PythonEthicalHacking
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 CompanyExtra_Special
1) Fluent Python ๐Js_Books
1) Beginning Nodejs 2) Practical Node JsLang-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 Donโt Know JS: Async & Performance 5) You Donโt 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>
- 2019 Generative Deep Learning Teaching Machines to Paint, Write, Compose, and Play by David Foster
- 6185 Machine Learning in Action
- AI and ML for Coders B1 ๐
- Advanced Deep Learning with TensorFlow 2 and Keras
- Ankur A Patel Hands On Unsupervised Learning Using Python ๐
- Applied DL PyTorch
- Auto ML
- Building Machine Learning Systems with Python - Richert, Coelho
- Building Machine Learning Systems with Python - Second Edition
- Building Recommendation Systems in Python and JAX
- Data Preparation for Machine Learning: Data Cleaning, Feature Selection, and Data Transforms in Python by Jason Brownlee.pdf)
- Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python by Jason Brownlee.pdf)
- Deep Learning with Applications Using Python: Chatbots, Face, Object, and Speech Recognition with TensorFlow and Keras.pdf)
- Deep Learning with Python part 2 ๐
- Deep Learning with Python ๐
- Deep Learning with PyTorch
- Deep Learning for Coders with fastai and PyTorch
- Elements of Statistical Learning
- Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
- Fundamentals of Deep Learning
- Generative Adversarial Networks with Python by Jason Brownlee.pdf)
- Generative Deep Learning Teaching Machines to Paint, Write, Compose, and Play by David Foster
- Graph Neural Network Guide
- Hands-On Machine Learning with Scikit Learn and TensorFlow
- Imbalanced Classification with Python by Jason Brownlee.pdf)
- Inside Deep Learning: Math, Algorithms, Models by Edward Raff Manning
- Introduction to Machine Learning with Python - min-min.pdf)
- Introduction to Time Series Forecasting with Python by Jason Brownlee.pdf)
- Learning TensorFlow - A Guide to Building Deep Learning.pdf)
- Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
- Machine Learning for the Web
- Machine Learning for the Web: Explore the Web and Make Smarter Predictions Using Python
- Machine Learning Some Projects
- Machine Learning with TensorFlow
- [Neural Network from Scratch ๐ [Sentdex Book]](https://github.com/Rishabh-creator601/Books/blob/master/ML-DL-BROAD/neural%20network%20from%20scratch.pdf)
- Practical Recommender Systems - Kim Falk (Manning, 2019).pdf)
- Practical Statistics for Data Scientists: 50 Essential Concepts Using R and Python
- Pro Machine Learning Algorithms
- Programming PyTorch for Deep Learning (2020).pdf)
- Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
- Recommendation System Guide ๐
- Rowel Atienza - Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition
- TensorFlow Developer Certificate Guide (2023).pdf)
- TensorFlow in Action
- The GAN Book
- The Hundred Page Machine Learning Book ๐
- AI-Machine-Learning-Coders-Programmers ๐
- Building Machine Learning Projects with TensorFlow
- Debugging NNs
- GANs in Action
- Machine Learning and Torch
- Torch-Mech-Algorthsm ๐
<ins> Natural Language Processing (NLP) </ins>
1) 1 starter ๐
2) 2 The Handbook of NLP with Gensim ๐
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 ๐
5) 5 Python Transformers By Huggingface Hands On- 101 practical Joshua K Cage ๐.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>
Reilly] - 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)
Ref
1) 50-useful-python-scripts-free-pdf (3).pdf) 2) Machine learning ref 3) Numpy Reference 4) Opencv Ref ๐ 5) Regression only 6) Tutorials on Machine learning & Deep-Learning 7) Very very good python ref for all fields ๐Reinforcement_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 ๐
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 ResourcesMaths
1) Calculus.pdf) 2) Precalculus.pdf) 3) precalculus-mathematics-for-calculus-6th-edition-pdf.pdf)Stats
- Best Book of Stats Menium ๐
- Hypothesis Testing - ANOVA
- Hypothesis Testing - Chi Square Distribution
- Practical Statistics for Data Scientists ๐
Theory_Books
1) Deep learning book 2) Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville.pdf) 3) dive into DL ๐ 4) ESLR 5) Foundations of Statistical Natural Language Processing - Christopher D Manning 6) ISLP 7) ISLR๐ More in this category