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.
Home page url
Download or read it online for free here:
by Mark Guzdial - Georgia Institute of Technology
Guzdial introduces programming as a way of creating and manipulating media -- a context familiar to today's readers. Starts readers with actual programming early on. Puts programming in a relevant context (Computing for Communications).
by Alan Gauld - Addison-Wesley Professional
Book for hobbyists, self-starters, and all who want to learn the art of computer programming in Python. Data types and variables, debugging, and namespaces are covered. Also includes sample applications that illustrate ideas and techniques in action.
by Matt Makai - FullStackPython.com
You're knee deep in learning the Python programming language. The syntax is starting to make sense. Now you want to take your knowledge and make something real. This book explains each Python web application stack layer and provides the resources.
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.