PythonLearn

Python for Everbody

Exploring Data In Python 3

New Edition! 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.

Updated to use Python 3, the book is now available in a variety of formats:


The sample code and data files for the book is here: Code Samples.

Chapters 2-10 are heavily adapted from the open book titled: "Think Python: How to Think like a Computer Scientist" by Allen B. Downey.

All of these materials are free and I want you to take them, use them and reuse them. If you would like to leave a tip, feel free to do so using the PayPal Donate button below.


Python for Informatics

Exploring Information

A previous version of the book, utilizing Python 2.

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.


The sample code and data files for the book is here: Code Samples.

Chapters 2-10 are heavily adapted from the open book titled: "Think Python: How to Think like a Computer Scientist" by Allen B. Downey.

All of these materials are free and I want you to take them, use them and reuse them. If you would like to leave a tip, feel free to do so using the PayPal Donate button below.