Book Image

NumPy Cookbook

Book Image

NumPy Cookbook

Overview of this book

Today's world of science and technology is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy will give you both speed and high productivity. "NumPy Cookbook" will teach you all about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, it is free and open source. "Numpy Cookbook" will teach you to write readable, efficient, and fast code that is as close to the language of Mathematics as much as possible with the cutting edge open source NumPy software library. You will learn about installing and using NumPy and related concepts. At the end of the book, we will explore related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project through examples. "NumPy Cookbook" will help you to be productive with NumPy and write clean and fast code.
Table of Contents (17 chapters)
NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Installing SciPy


SciPy is the scientific Python library and is closely related to NumPy. In fact, SciPy and NumPy used to be one and the same project many years ago. In this recipe, we will install SciPy.

Getting ready

In Chapter 1, Winding Along with IPython, we discussed how to install setup tools and pip. Reread the recipe if necessary.

How to do it...

In this recipe, we will go through the steps for installing SciPy.

  • Installing from source: If you have Git installed, you can clone the SciPy repository using the following command:

    git clone https://github.com/scipy/scipy.git
    
    python setup.py build
    python setup.py install --user   
    

    This installs to your home directory and requires Python 2.6 or higher.

    Before building, you will also need to install the following packages on which SciPy depends:

    • BLAS and LAPACK libraries

    • C and Fortran compilers

    There is a chance that you have already installed this software as a part of the NumPy installation.

  • Installing SciPy on Linux: Most Linux distributions...