Deploying to main from @ numpy/numpy.org@4b14f20 🚀

Author: InessaPawson

learn/index.html

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 <em>by Stéfan van der Walt</em></li><li><a href=https://numpy.org/numpy-tutorials>NumPy Tutorials</a> A collection of tutorials and educational
 materials in the format of Jupyter Notebooks developed and maintained by the NumPy Documentation team.
 To submit your own content, visit the <a href=https://github.com/numpy/numpy-tutorials>numpy-tutorials repository on GitHub</a>.</li></ul><p><i class="fas fa-book"></i> <strong>Books</strong></p><ul><li><a href=https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1098121228>Python Data Science Handbook</a>
-<em>by Jake Vanderplas</em></li><li><a href=https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X>Python for Data Analysis</a>
+<em>by Jake VanderPlas</em></li><li><a href=https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X>Python for Data Analysis</a>
 <em>by Wes McKinney</em></li><li><a href=https://www.amazon.com/Numerical-Python-Scientific-Applications-Matplotlib/dp/1484242459>Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy,
 and Matplotlib</a>
 <em>by Robert Johansson</em></li></ul><p><i class="far fa-file-video"></i> <strong>Videos</strong></p><ul><li><a href="https://www.youtube.com/watch?v=cYugp9IN1-Q">Advanced NumPy - broadcasting rules, strides, and advanced indexing</a>