April 2016
Beginner
156 pages
3h 23m
English
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SciPy
SciPy is a well-known Python library focusing on scientific computing (it contains modules for optimization, linear algebra, integration, interpolation, and special functions such as FFT, signal, and image processing). It builds on the NumPy Array object, and NumPy is part of the whole SciPy stack (remember that we introduced the Scientific Python family in Chapter 1, An Introduction to NumPy). However, the SciPy module contains various topics that we can't cover in just one section. Let's look at an example of image processing (noise removal) to help you get some idea of what SciPy can do:
In [1]: from scipy.misc import imread, imsave, ascent In [2]: import matplotlib.pyplot as plt In [3]: image_data = ascent()
First, we import three functions ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.