- The Most Comprehensive List of Free Python Programming eBooks
- Introduction to Computer Programming with Python (Harris Wang) (2023)
- Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization
- Introduction to Python Programming (Udayan Das, et al.) (2024)
- Python for Everybody: Exploring Data in Python 3 (2016)
- Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners (2020)
- Fundamentals of Python Programming (2019)
- Modeling Neural Circuits Made Simple with Python (Robert Rosenbaum) (2024)
- Data Structures and Algorithms in Python (Michael T. Goodrich)
- Python Programming for Economics and Finance (Thomas J. Sargent, et al.) (2024)
- Black Hat Python: Python Programming for Hackers and Pentesters (Justin Seitz)
- An Introduction to R and Python for Data Analysis: A Side-By-Side Approach (2023)
- Learning Statistics with Python (Ethan Weed)
- Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter (2023)
- Architecture Patterns with Python (Harry Percival, et al.) (2020)
- Data Analysis with Python (Numpy, Matplotlib and Pandas) by Bernd Klein (2021)
- Mathematical Python (Patrick Walls) (2022)
- Intermediate Python (Obi Ike-Nwosu) (2023)
- Intermediate Python (Muhammad Yasoob Ullah Khalid) (2023)
- Essentials of Compilation: An Incremental Approach in Python (Jeremy G. Siek) (2023)
- Data Visualization in Python (Daniel Nelson)
- Deep Learning with Python, 2nd Edition (Francois Chollet)
- Introduction to Statistical Learning using Python (Gareth James, et al) (2023)
- Using Python for Introductory Econometrics (Florian Heiss, et al.) (2020)
- Introduction to Time Series with Python (Sadrach Pierre) (2024)
- Introduction to Python for Econometrics, Statistics, and Data Analysis (2021)
- Introduction to Python for Finance (Trenton McKinney) (2024)
- Machine Learning with Python Tutorial (Bernd Klein) (2022)
- O'Reilly® Think Python, 2nd Edition (Allen B. Downey)
- Object Orientated Programming with Python
- Think Stats, 2nd Edition: Exploratory Data Analysis in Python (Allen B. Downey)
- O'Reilly® Think Bayes: Bayesian Statistics in Python (Allen B. Downey) (2021)
- O'Reilly® Think DSP: Digital Signal Processing in Python (Allen B. Downey) (2016)
- Regression Analysis using Python (Eric Marsden) (2020)
- Introduction to Scientific Programming with Python
- Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6
- First Semester in Numerical Analysis with Python (Yaning Liu)
- Algorithmic Problem Solving with Python (John B. Schneider)
- Cosmic Python (2022)
- Python for You and Me PDF (2022)
- Clean Architectures in Python – A Practical Approach to Better Software Design PDF (2022)
- Clean Code in Python: Refactor Your Legacy Code Base (Mariano Anaya) (2018)
- Non-Programmer’s Tutorial for Python 3 (2021)
- Learn Python the Right Way (2021)
- Advanced Python Tips PDF (2020)
- A Beginner’s Python Tutorial Wikibook (2020)
- Inside The Python Virtual Machine (Obi Ike-Nwosu) (2020)
- Linear Algebra with Python (Sean Fitzpatrick) (2023)
- A Lisp Programmer Living in Python-Land: The Hy Programming Language PDF (2020)
- Statistics and Machine Learning in Python (Edouard Duchesnay, et al.)
- Introduction to Statistical Learning: with Applications in Python (2023)
- Build Applications in Python the antitextbook (2019)
- Python Notes for Professionals (2018)
- Full Speed Python PDF (2018)
- Cracking Codes with Python: Building and Breaking Ciphers (2018)
- Python for Network Engineers (Natasha Samoylenko) (2022)
- Coffee Break Python Slicing – 24 Workouts to Master Slicing in Python, Once and for All PDF (2018)
- Learn Python With No Programming Experience: Why, How, and When to Use Functions PDF (2018)
- How To Code in Python 3 PDF (2018)
- Boxes – Your Second Python book (2018)
- Python 3 Patterns, Recipes and Idiom (2017)
- A Byte of Python (2017)
- The Coder’s Apprentice – Learning Programming with Python 3 (2017)
- The 1 Page Python Book: Beginners Guide to Programming in Python (Barani Kumar) (2021)
- Essential Python 3 (Kevin Vans-Colina) (2021)
- Python Tutorial (Guido van Rossum) (2023)
- The Python Handbook (Flavio Copes)
- Tiny Python 3.6 Notebook: Curated Examples (2017)
- A Whirlwind Tour of Python (2016)
- Invent Computer Games with Python (2016)
- Intermediate Python PDF (2016)
- Getting Started With Python In The Lab PDF (2016)
- The Hitchhiker’s Guide to Python: Best Practices for Development (2016)
- Introduction to Python for Computational Science and Engineering (2022)
- O'Reilly® Think Complexity: Science and Modeling in Python (Allen B. Downey) (2018)
- Python Scripting for Computational Science (Hans Langtangen)
- Modeling and Simulation in Python (Allen B. Downey) (2023)
- Mining Social Media using Python: Finding Stories in Data (2019)
- A Practical Introduction to Python Programming (Brian Heinold) (2015)
- How to Make Mistakes in Python? PDF (2015)
- Learn Python, Break Python (2014)
- Test-Driven Web Development with Python (2014)
- Modeling Creativity – Case Studies in Python (2014)
- Hacking Secret Ciphers with Python: A beginners guide to cryptography and computer programming with Python (2013)
- Problem Solving with Algorithms and Data Structures Using Python (2013)
- How to Think Like a Computer Scientist: Learning with Python 3 (2012)
- Python for Kids: A Playful Introduction to Programming (2012)
- Data Structures and Algorithms with OPP Design Patterns in Python (Bruno R. Preiss) (2003)
- The Little Book of Algorithms in Python (William Lau) (2020)
- Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit (2009)
- Solving Ordinary Differential Equations in Python (Joakim Sundnes)
- Solving PDEs in Python: The FEniCS Tutorial I (H. Langtangen)
- A Python Book (Dave Kuhlman)
- Text Processing in Python (David Mertz)
- Python for Geospatial Analysis (Ujaval Gandhi)
- Introduction to Python for Geographic Data Analysis
- Python Scripting for Spatial Data Processing (Pete Bunting, et al.)
- Geographic Data Science with Python (Sergio Rey, et al.)