Python Data Science Handbook
by Jake VanderPlas
Publisher: O'Reilly Media 2016
Number of pages: 548
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. Familiarity with Python as a language is assumed. The book was written and tested with Python 3.5.
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by Charles R. Severance - PythonLearn
This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as a tool to solve data problems that are beyond the capability of a spreadsheet.
by W.J. Turkel, A. Crymble, A. MacEachern - NiCHE
This book is a tutorial-style introduction to programming in Python for practicing historians (and other humanists). We assume that you're starting out with no prior programming experience and only a basic understanding of computers.
by EuroScipy tutorial team
Teaching material on the scientific Python ecosystem, a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.
by Guido Van Rossum - Network Theory Ltd.
The definitive language reference for Python. It describes the syntax of Python and its built-in datatypes. It covers advanced topics, and is suitable for readers who are familiar with the details and rules of the Python and its object system.