Programming for Computations - Python
by Svein Linge, Hans Petter Langtangen
Publisher: Springer 2016
Number of pages: 232
This book presents Python programming as a key method for solving mathematical problems. The style is accessible and concise, the emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
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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.
by Fredrik Lundh, Matthew Ellis - PythonWare
The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
by Richard L. Halterman - Southern Adventist University
The focus is on introducing programming techniques and developing good habits. Our approach avoids some more esoteric features of Python and concentrates on the programming basics that transfer directly to other imperative programming languages.
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.