Chewing data efficiently with NumPy and intelligently with SciPy

Let's walk quickly through some basic NumPy examples and then take a look at what SciPy provides on top of it. On the way, we will get our feet wet with plotting using the marvelous matplotlib package.

For an in-depth explanation, you might want to take a look at some of the more interesting examples of what NumPy has to offer at https://docs.scipy.org/doc/numpy/user/quickstart.html.

You will also find the NumPy Beginner's Guide - Second Edition by Ivan Idris, from Packt Publishing, very valuable. Additional tutorial style guides can be found at http://www.scipy-lectures.org, and the official SciPy tutorial can be found at http://docs.scipy.org/doc/scipy/reference/tutorial.

In this book, we will use NumPy in version 1.13.3 and SciPy in version 1.0.0.
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