How to Think Like a Computer Scientist: Learning with Python
by Jeffrey Elkner, Allen B. Downey, Chris Meyers
Publisher: Green Tea Press 2012
This is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.
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by Josh Cogliati - Wikibooks
This free tutorial is designed to be an introduction to the Python programming language. The guide is for someone with no programming experience. The author attempts to teach programming by reading code and writing code.
by Hannes Röst, et al. - Wikibooks
This book describes Python, an open-source general-purpose interpreted programming language, available for all Platforms. Python is a high-level, structured programming language that can be used for a wide variety of programming tasks.
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 Jake VanderPlas - O'Reilly Media
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, etc. Familiarity with Python as a language is assumed. The book was written and tested with Python 3.5.