There are lots of books for getting started with Python, so where should you start? In this blog post, we bring you our catalogue of the best FREE Data Science books that we've found about programming in Python for Data Scientists.
Ready to get started?
If you want to be a Data Scientist and want to improve your Python programming skills, why not start with some of these FREE Python for Data Science Books?
Getting Started With Python - Start Here!
In this post we bring you all the FREE Data Science books that combine Python programming with Data Science that we've found (so far), categorised by sub-topic to make it easy for you to get started with Python.
We'll be adding to this collection of FREE Python programming books regularly. So keep popping in regularly to see what's new.
Some of these categories only have a small number of books in them, so if you know of any free Data Science books we can add to the list, leave a comment at the bottom and I'll jump right on it.
Bookmark, enjoy and share!
Disclosure: The FREE ebooks were free to download at the time of posting but other links in this post may contain affiliate links. As Amazon Associates we may earn from qualifying purchases.
You can find further details in our TCs
FREE General Python Books
If you want to get started with Python, here are some of the more general books on Python you can read for FREE.
Click on the book image to go to the book you're interested in.
Python For Everybody
The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
Learn Python The Hard Way
by Zed A. Shaw
In Learn Python the Hard Way, Third Edition, you'll learn Python by working through 52 brilliantly crafted exercises.
Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run.
As you do, you'll learn how software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use.
Most importantly, you'll learn how to install a complete Python environment, organise and write code, basic coding constructs, game development and more.
Learning With Python
Allen Downey, Jeffrey Elkner, Chris Meyers
Introduction to computer science using the Python programming language.
It covers the basics of computer programming in the first part while later chapters cover basic algorithms and data structures.
learn python break python
Learn Python, Break Python is a hands-on introduction to the Python programming language, written for people who have no experience with programming whatsoever. Hey, we all have to start somewhere. As such, the examples and teaching style used in this text make absolutely no expectations about your prior programming experience.
If you've never used a programming language before, leaping into Python might seem a bit scary at first. You don't need to worry. Learning how to program a computer is far from impossible. Anyone can pick up the art of programming with a little time and a bit of patience.
By Allen B. Downey
Think Python is an introduction to Python programming for beginners.
It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression.
Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.
Object Oriented Programming With Python
Ashwin Pajankar and Sushant Garg
This book is the simple and definitive guide to the Python 3 Object Oriented Programming. Other book of the similar genres make use of complicated writing style and examples to introduce the readers to the OOP in Python 3. However, this book uses Simple language to explain concepts. It is aimed at intermediate learners who already know Python.
Test-driven web development with python
By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python.
You'll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you'll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques.
Clean architectures in python
The clean architecture is the opposite of spaghetti code, where everything is interlaced and there are no single elements that can be easily detached from the rest and replaced without the whole system collapsing. The main point of the clean architecture is to make clear "what is where and why".
This book is divided into two parts.
The first part is about Test-driven Development (TDD) and the second one introduces the clean architecture.
Getting started with python in the lab
Many life science researchers are missing out on some of the wonderful computational tools that are out there, and that could be invaluable in helping them to manage and analyze their laboratory data.
This brief Python code tutorial for life science computing, aims to point life scientists with relatively little exposure to programming languages, in the right direction to be able to start using the Python programming language to write useful code that can solve real problems in their work and their research.
Dive Into Python 3
Dive Into Python 3 is a hands-on guide to Python 3 and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end
This book includes:
- Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more
- A detailed case study of porting a major library from Python 2 to Python 3
- A comprehensive appendix of all the syntactic and semantic changes in Python 3
This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.
Python FREE Books for Data Mining
KB Data Mining with python sources
The aim of this work is to present and describe in detail the algorithms to extract the knowledge hidden inside data using Python language, which allows us to read and easily understand the nature and the characteristics of the rules of the computing utilized, as opposed to what happens in commercial applications, which are available only in the form of running codes, which remain impossible to modify. The algorithms of computing contained within the work, are minutely described, documented and available in the Python source format, and serve to extract the hidden knowledge within the data whether they are textual or numerical kinds. There are also various examples of usage, underlining the characteristics, method of execution and providing comments on the obtained results.
FREE Python Books for Machine Learning
Data Science In The Cloud With Microsoft Azure Machine Learning And Python
Stephen F. Elston
In this O’Reilly report, Stephen Elston from Quantia Analytics uses a complete data science example (forecasting hourly demand for a bicycle rental system) to show you how to manipulate data, construct models, and evaluate models with Azure ML.
Natural Language Processing with Python
Stephen Bird, Ewan Klein and Edward Loper
This book provides a highly accessible introduction to the field of NLP. It can be used for individual study or as the textbook for a course on natural language processing or computational linguistics, or as a supplement to courses in artificial intelligence, text mining, or corpus linguistics. The book is intensely practical, containing hundreds of fully-worked examples and graded exercises.
Programming Computer Vision With Python
Stephen Bird, Ewan Klein and Edward Loper
If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.
Getting Started With Python - Summary
I hope that these FREE Python Ebooks whet your appetite for more learning - especially as they're all free!
Is there a book that you'd like to recommend for this list? Are any of the links out of date? Leave a comment at the bottom and I'll jump right on it.
Bookmark this page so you can return to it and pick up more free Data Science books, enjoy and don't forget to share with your friends on social media so they can get started with Python too!
If you're looking for more FREE Data Science Books we also have the following posts.
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