December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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Indexing
In this section, we address the methods NumPy offers for access and modification of data in an array. Python itself provides a rich set of indexing modes, and NumPy extends these with a number of methods suitable for numerical computations.
To access items of an array a, NumPy, as Python, uses the a[...] bracket notation. In the background, NumPy defines the __getitem__, __setitem__, and __deleteitem__ methods to do the requested operations on the array items. The arguments inside the brackets are expressions that specify the locations of the items we want to access. For example, to access the element at position (1,2) of the two-dimensional array a, we use the expression a[1,2]. Since indexing starts at 0, the expression refers ...
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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.