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Learning NumPy Array

You're reading from  Learning NumPy Array

Product type Book
Published in Jun 2014
Publisher
ISBN-13 9781783983902
Pages 164 pages
Edition 1st Edition
Languages
Author (1):
Ivan Idris Ivan Idris
Profile icon Ivan Idris

Table of Contents (14) Chapters

Learning NumPy Array
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with NumPy 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

Debugging with IPython


Debugging is one of those tasks that we try to avoid by having good unit tests in place. Debugging can take a long time, and most likely, you don't have that time. Therefore, it is important to be systematic and know your tools well. After you have found the issue and implemented a fix, you should have a unit test in place. This way at least you will not have to go through the torture of debugging again.

We will debug some incorrect code that is trying to access an array element out of bounds:

import numpy

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

Proceed with the following steps:

  1. Run the faulty script in IPython.

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

    In [1]: %run buggy.py
    ---------------------------------------------------------------------------
    IndexError                                Traceback (most recent call last)
    .../site-packages/IPython/utils/py3compat.pyc in execfile(fname, *where)
        173             else:
        174...
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