December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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Introduction
We are now ready to start exploring NumPy, the fundamental package upon which the whole scientific Python stack is built. This chapter presents an introduction to the essential features of NumPy that are used in day-to-day scientific and data computations.
Built-in Python data structures, such as lists and dictionaries, are ill suited for scientific and data-oriented computing and their use results in programs that are significantly slower than numerical code written in compiled languages such as C, C++, and Fortran. NumPy was created to address this problem, and solves it by defining specialized array-oriented objects and methods designed for efficient numerical and data computing. The main data structure defined in NumPy with ...
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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.