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NumPy Essentials

You're reading from  NumPy Essentials

Product type Book
Published in Apr 2016
Publisher
ISBN-13 9781784393670
Pages 156 pages
Edition 1st Edition
Languages
Authors (3):
Leo (Liang-Huan) Chin Leo (Liang-Huan) Chin
Profile icon Leo (Liang-Huan) Chin
Tanmay Dutta Tanmay Dutta
Profile icon Tanmay Dutta
Shane Holloway Shane Holloway
Profile icon Shane Holloway
View More author details

Table of Contents (16) Chapters

NumPy Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to NumPy 2. The NumPy ndarray Object 3. Using NumPy Arrays 4. NumPy Core and Libs Submodules 5. Linear Algebra in NumPy 6. Fourier Analysis in NumPy 7. Building and Distributing NumPy Code 8. Speeding Up NumPy with Cython 9. Introduction to the NumPy C-API 10. Further Reading

Introducing Distutils and setuptools


Before we begin, first let us understand what these tools are and why we prefer one over another. Distutils is a framework that comes by default with Python, and setuptools builds over the standard Distutils to provide enhanced functionalities and features. In a real-world scenario, you will never use Distutils. The only case where you might want to use Distutils alone is where setuptools is unavailable. (A good setup script should check for the availability of setuptools before proceeding.) In most cases, users will be better off installing setuptools as most packages nowadays are built over them. We will be using setuptools for building Cython code in the following chapters; hence, for our purpose, we will be installing setuptools now and using it extensively from now on.

Next let us start by installing the required tools to build our first dummy (but working) installer. After we have got our installer working, we will dive into more functionalities...

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