Python for Everybody: Exploring Data in Python 3
by Charles R. Severance
Publisher: PythonLearn 2016
Number of pages: 247
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.
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by Josh Cogliati - Wikibooks
This free tutorial is designed to be an introduction to the Python programming language. The guide is for someone with no programming experience. The author attempts to teach programming by reading code and writing code.
by Kristian Rother - GitBook
This is a tutorial for novice programmers, it works best if you follow the exercises step by step. If you are fluent in any programming language, this might be very easy for you. It contains little material on the higher abstraction levels in Python.
by Rahul Verma, Chetan Giridhar - Testing Perspective
This book is about learning design patterns with Python language. If you are new to design patterns, this text provides the first building blocks. If you are interested in design of test automation frameworks, this book will be very useful.
by Brian Heinold - Mount St. Mary's University
Partly a tutorial and partly a reference book. I summarize information in tables and give a lot of short example programs. I also jump right into things and fill in background information as I go, rather than covering the background material first.