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Numpy Beginner's Guide (Update)

You're reading from   Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785281969
Length 348 pages
Edition 1st 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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Toc

Table of Contents (16) Chapters Close

Preface 1. NumPy Quick Start 2. Beginning with NumPy Fundamentals FREE CHAPTER 3. Getting Familiar with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Moving Further with NumPy Modules 7. Peeking into Special Routines 8. Assuring Quality with Testing 9. Plotting with matplotlib 10. When NumPy Is Not Enough – SciPy and Beyond 11. Playing with Pygame A. Pop Quiz Answers B. Additional Online Resources C. NumPy Functions' References
Index

Time for action – installing Python on different operating systems

NumPy has binary installers for Windows, various Linux distributions, and Mac OS X at http://sourceforge.net/projects/numpy/files/. There is also a source distribution, if you prefer that. You need to have Python 2.4.x or above installed on your system. We will go through the various steps required to install Python on the following operating systems:

  • Debian and Ubuntu: Python might already be installed on Debian and Ubuntu, but the development headers are usually not. On Debian and Ubuntu, install the python and python-dev packages with the following commands:
    $ [sudo] apt-get install python
    $ [sudo] apt-get install python-dev
    
  • Windows: The Windows Python installer is available at https://www.python.org/downloads/. On this website, we can also find installers for Mac OS X and source archives for Linux, UNIX, and Mac OS X.
  • Mac: Python comes preinstalled on Mac OS X. We can also get Python through MacPorts, Fink, Homebrew, or similar projects.

    Install, for instance, the Python 2.7 port by running the following command:

    $ [sudo] port install python27
    

    Linear Algebra PACKage (LAPACK) does not need to be present but, if it is, NumPy will detect it and use it during the installation phase. It is recommended that you install LAPACK for serious numerical analysis as it has useful numerical linear algebra functionality.

What just happened?

We installed Python on Debian, Ubuntu, Windows, and the Mac OS X.

Note

You can download the example code files for all the Packt books you have purchased from your account at https://www.packtpub.com/. If you purchased this book elsewhere, you can visit https://www.packtpub.com/books/content/support and register to have the files e-mailed directly to you.

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