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 Dave Kuhlman
This document contains discussions of several advanced topics that are of interest to Python programmers: regular expressions, unit tests, extending and embedding Python, parsing, GUI applications, guidance on packages and modules.
by Harry Percival - O'Reilly Media
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 John C. Lusth - The University of Alabama
Contents: Starting Out; Literals; Combining Literals; Precedence and Associativity; Variables; Assignment; Conditionals; Functions; Python Programs and Using Files; Input and Output; More about Functions; Scope; Loops; Lists; Recursion; etc.