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NumPy Cookbook

You're reading from   NumPy Cookbook If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.

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Product type Paperback
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Length 226 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts FREE CHAPTER 3. Get to Grips with Commonly Used Functions 4. Connecting NumPy with the Rest of the World 5. Audio and Image Processing 6. Special Arrays and Universal Functions 7. Profiling and Debugging 8. Quality Assurance 9. Speed Up Code with Cython 10. Fun with Scikits Index

Installing line_profiler


line_profiler was created by one of the NumPy developers. This module does line-by-line profiling of Python code. We will describe the necessary installation steps in this recipe.

Getting ready

You might need to install setuptools. This is covered in a previous recipe; refer to the See Also section if necessary. In order to install the development version, you will need Mercurial. Installing Mercurial is outside the scope of this book. Steps to install Mercurial can be found at http://mercurial.selenic.com/wiki/Download.

How to do it...

Choose the install option appropriate for you:

  • Install with easy_install.

    You can install line_profiler with easy_install by using any one of the following commands:

    easy_install line_profiler
    pip install line_profiler
    
  • Install development version.

    We can check out the source with Mercurial:

    $ hg clone https://bitbucket.org/robertkern/line_profiler
    

    After checking out the source, we can build it as follows:

    $ python setup.py install
    

See...

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