December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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What this book covers
Chapter 1, Getting to Know the Tools, explains how to install and configure all the packages required to set up and configure an environment dedicated to scientific computing in Python. The chapter considers several different setup options in the three main operating systems available to users: Windows, macOS, and Linux.
Chapter 2, Getting Started with NumPy, presents the essential recipes for efficient use of NumPy, the Python package for numerical computations on which SciPy is based.
Chapter 3, Using Matplotlib to Create Graphs, is a thorough discussion of Matplotlib, the plotting library included with NumPy and SciPy, concentrating on the skills required to display the results of technical computations.
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