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Learning NumPy Array

You're reading from   Learning NumPy Array Supercharge your scientific Python computations by understanding how to use the NumPy library effectively

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783983902
Length 164 pages
Edition Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (14) Chapters Close

Learning NumPy Array
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with NumPy FREE CHAPTER 2. NumPy Basics 3. Basic Data Analysis with NumPy 4. Simple Predictive Analytics with NumPy 5. Signal Processing Techniques 6. Profiling, Debugging, and Testing 7. The Scientific Python Ecosystem Index

Building from source


As a last resort or if we want to have the latest code, we can build from source. In practice it shouldn't be that hard although, depending on your operating system, you might run into problems. As operating systems and related software are rapidly evolving, the best you can do is search online or ask for help. In this chapter, we give pointers on good places to look for help.

The steps to install NumPy from source are straightforward and given here. We can retrieve the source code for NumPy with .git as follows:

git clone git://github.com/numpy/numpy.git numpy

Install on /usr/local with the following command:

python setup.py build
sudo python setup.py install --prefix=/usr/local

To build, we need a C compiler such as GCC and the Python header files in the python-dev or python-devel package.

You have been reading a chapter from
Learning NumPy Array
Published in: Jun 2014
Publisher:
ISBN-13: 9781783983902
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