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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
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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

Analyzing code with Pylint


Pylint is another open source static analyzer originally created by Logilab. Pylint is more complex than Pyflakes; it allows more customization. However, it is slower than Pyflakes. For more information check out http://www.logilab.org/card/pylint_manual.

In this recipe, we will again download the NumPy code from the Git repository—this step is omitted for brevity.

Getting ready

You can install Pylint from the source distribution. However, there are many dependencies, so you are better off installing with either easy_install, or pip. The installation commands are as follows:

easy_install pylint
sudo pip install pylint

How to do it...

We will again analyze from the top directory of the NumPy codebase. Please notice that we are getting much more output. In fact, Pylint prints so much text that most of it had to be cut out here:

pylint *.py
$ pylint *.py
No config file found, using default configuration
************* Module pavement
C: 60: Line too long (81/80)
C:139...
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