SciPy Course Outline
Copyright (c) 2005 Dave Kuhlman. All Rights Reserved. This software is subject to the provisions of the MIT License http://www.opensource.org/licenses/mit-license.php. Abstract This document provides an outline for a course on NumPy/SciPy. PyTables and Matplotlib are also discussed. 1Â Â Â What is SciPy? SciPy is both (1) a way to handle large arrays of numerical data in Python and (2) a way to apply
Routines and objects by topic — NumPy v2.0 Manual
Routines and objects by topic# In this chapter routine docstrings are presented, grouped by functionality. Many docstrings contain example code, which demonstrates basic usage of the routine. The examples assume that NumPy is imported with: A convenient way to execute examples is the %doctest_mode mode of IPython, which allows for pasting of multi-line examples and preserves indentation.
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