Top Python books curated by experts

Created for developers of all skill levels to find the essentials of common operations combined with the fastest reference guide for writing code. This handy 6 page laminated guide is a concise desktop reference to key concepts behind Python logic, syntax, and operation. Expertly written to conc…

Author Luciano Ramalho shows you how to get more from Python by outlining its core features — and demonstrating how that helps write clear, concise and effective code. This book provides a hands-on guide for writing modern Python 3 code.

The hands-on Machine Learning book is an amazing piece by Aurélien Géron, taking you from the basics of Machine Learning to applying them to real-word scenarios all in one book.

This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks―scikit-learn and TensorFlow―author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Causal Inference and Discovery in Python helps you unlock the potential of causality. You'll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more.

Rematch is Redux best practices without the boilerplate. This book is an easy-to-read guide for anyone who wants to get started with Redux, and for those who are already using it and want to improve their codebase.

Python can quickly create and manage data structures, allowing you to analyze and manipulate complex data sets. Python also has a massive ecosystem of libraries and tools that can assist in processing data quickly and efficiently. It features simple syntax, making Python easier to learn and unde…

If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do …

If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.

Effective Python, 59 Ways to Write Better Python by Brett Slatkin is a neat little book to help you hone your Python skills (both for 2 and 3). It consists of tips across various concepts, from useful built-in modules to documentation.

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides pra…

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.

This book is aimed at more experienced Python programmers who are looking to deepen their understanding of the language and modern programming idioms. Much of the material focuses on some of the more advanced techniques used by libraries, frameworks, and applications.