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 Dave Kuhlman
This document is a syllabus for a first course in Python programming. It contains an introduction to the Python language, instruction in the important features of the language, and practical exercises in the use of those features.
by Ian Ozsvald - ianozsvald.com
By exploring the theory behind design choices, this practical guide helps you gain a deeper understanding of Python implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
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 Swaroop C H
This is a tutorial and a guide on Python programming for absolute beginners. If all you know about computers is how to save text files, then this is the book for you. The book is updated for the upcoming Python 3.0 language.