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 Lennart Regebro
Porting to Python 3 doesn't have to be daunting. This book guides you through the process of porting your Python 2 code to Python 3. Using plenty of code examples is takes you cross the hurdles and shows you the new Python features.
by Jan Erik Solem - O'Reilly Media
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts.
by Allen Downey - Green Tea Press
A concise introduction to software design using Python. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. The goal is to teach you to think like a computer scientist.
by Mark Pilgrim - Apress
This is a book for experienced programmers, a hands-on guide to the Python language. Each chapter starts with a complete code sample, picks it apart and explains the pieces, and then puts it all back together in a summary at the end.