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NumPy Cookbook

You're reading from  NumPy Cookbook

Product type Book
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Pages 226 pages
Edition 1st Edition
Languages

Table of Contents (17) Chapters

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts 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

Debugging with IPython


Debugging is one of those things nobody really likes, but is very important to master. It can take hours, and because of Murphy's law, you most likely, don't have that time. Therefore, it is important to be systematic and know your tools well. After you are done finding the bug and implementing a fix, you should have a test in place. This way at least you will not have to go through the hell of debugging again. Unit testing is covered in the next chapter. We will debug the following buggy code, which tries to access an array element that is not present:

import numpy

a = numpy.arange(7)
print a[8]

The IPython debugger works as the normal Python pdb debugger; it adds features such as tab completion and syntax highlighting.

How to do it...

The following steps illustrate a typical debugging session:

  1. Run the buggy script in IPython.

    Start the IPython shell. Run the buggy script in IPython by issuing the following command:

    In [1]: %run buggy.py
    ------------------------------...
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