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IPython Notebook Essentials

You're reading from   IPython Notebook Essentials Compute scientific data and execute code interactively with NumPy and SciPy

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783988341
Length 190 pages
Edition 1st Edition
Tools
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Author (1):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Exercises

The following are some practice questions that will help you to understand and apply the concepts learned in this chapter:

  • In our example, we discussed how to determine the cooling rate r. Modify the example to plot the temperature evolution for several values of r, keeping all other variables fixed.
  • Search the matplotlib documentation at http://matplotlib.org to figure out how to generate a contour plot of the temperature differences.

    Our analysis ignores the fact that the cream will also change temperature as we walk. Change the notebook so that this factor is taken into account

You have been reading a chapter from
IPython Notebook Essentials
Published in: Nov 2014
Publisher:
ISBN-13: 9781783988341
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