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Copy file name to clipboardExpand all lines: python-numpy-tutorial.md
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@@ -33,7 +33,7 @@ for the rest of you, this section will serve as a quick crash course both on
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the Python programming language and on the use of Python for scientific
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computing.
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Some of you may have previous knowledge in Matlab, in which case we also recommend the [numpy for Matlab users](http://wiki.scipy.org/NumPy_for_Matlab_Users) page.
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Some of you may have previous knowledge in Matlab, in which case we also recommend the [numpy for Matlab users](https://docs.scipy.org/doc/numpy-1.15.0/user/numpy-for-matlab-users.html) page.
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You can also find an [IPython notebook version of this tutorial here](https://github.com/kuleshov/cs228-material/blob/master/tutorials/python/cs228-python-tutorial.ipynb) created by [Volodymyr Kuleshov](http://web.stanford.edu/~kuleshov/) and [Isaac Caswell](https://symsys.stanford.edu/viewing/symsysaffiliate/21335) for [CS 228](http://cs.stanford.edu/~ermon/cs228/index.html).
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If this explanation does not make sense, try reading the explanation
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[from the documentation](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
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or [this explanation](http://wiki.scipy.org/EricsBroadcastingDoc).
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or [this explanation](https://scipy.github.io/old-wiki/pages/EricsBroadcastingDoc).
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Functions that support broadcasting are known as *universal functions*. You can find
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the list of all universal functions
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In this section give a brief introduction to the `matplotlib.pyplot` module,
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which provides a plotting system similar to that of MATLAB.
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<aname='matplotlib-plot'></a>
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<aname='matplotlib-plotting'></a>
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### Plotting
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The most important function in matplotlib is `plot`,
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