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 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; Scope; Loops; Recursion; Arrays; Sorting; Footnotes; etc.
by Harry Percival - O'Reilly Media
by Chris Meyers
This collection is a presentation of several small Python programs. They are aimed at intermediate programmers - people who have studied Python and are fairly comfortable with basic recursion and object oriented techniques.
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.