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update numpy
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content/pages/03-data/18-numpy.markdown

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@@ -18,8 +18,14 @@ other scientific computing packages such as [pandas](/pandas.html).
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### NumPy resources
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* [From Python to NumPy](http://www.labri.fr/perso/nrougier/from-python-to-numpy/)
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is an awesome resource that shows how to use your basic
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Python knowledge to learn how to do vectorization with NumPy.
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* [101 NumPy Exercises for Data Analysis](https://www.machinelearningplus.com/101-numpy-exercises-python/)
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* [NumPy: creating and manipulating numerical data](http://www.scipy-lectures.org/intro/numpy/index.html)
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25-
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* [Python NumPy Array Tutorial](https://www.datacamp.com/community/tutorials/python-numpy-tutorial)
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is a starter tutorial specifically focused on using and working
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with NumPy's powerful arrays.

content/pages/03-data/19-scipy.markdown

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@@ -13,6 +13,8 @@ for math, science and engineering. [NumPy](/numpy.html),
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[Matplotlib](/matplotlib.html) and [pandas](/pandas.html) are libraries
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that fall under the SciPy project umbrella.
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<img src="/img/logos/scipy.png" width="100%" alt="SciPy project logo.">
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[Blaze](http://blaze.pydata.org/) is a similar, but separate, ecosystem
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with additional tools for wrangling, cleaning, processing and analyzing data.
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static/img/logos/scipy.png

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