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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

Running NumPy code in a Python Anywhere web console


In Chapter 1, we already saw a Python Anywhere console in action, without having an account. This recipe will require you to have an account, but don't worry—it's free; at least if you don't need too many resources.

Signing up is a pretty straightforward process and will not be covered here. NumPy is already installed along with a long list of other Python software. For a complete list, see https://www.pythonanywhere.com/batteries_included/.

We will setup a simple script that gets price data from Google Finance every minute, and does simple statistics with the prices using NumPy.

How to do it...

Once we have signed up, we can login and have a look at the Python Anywhere dashboard:

  1. Write the code.

    The complete code for this example is as follows:

    import urllib2
    import re
    import time
    import sys	
    import numpy
    
    prices = numpy.array([])
    
    for i in xrange(3):
      req = urllib2.Request('http://finance.google.com/finance/info?client=ig&q=' + sys.argv...
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