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32 | 32 | <em>by Stéfan van der Walt</em></li><li><ahref=https://numpy.org/numpy-tutorials>NumPy Tutorials</a> A collection of tutorials and educational |
33 | 33 | materials in the format of Jupyter Notebooks developed and maintained by the NumPy Documentation team. |
34 | 34 | To submit your own content, visit the<ahref=https://github.com/numpy/numpy-tutorials>numpy-tutorials repository on GitHub</a>.</li></ul><p><iclass="fas fa-book"></i><strong>Books</strong></p><ul><li><ahref=https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1098121228>Python Data Science Handbook</a> |
35 | | -<em>by JakeVanderplas</em></li><li><ahref=https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X>Python for Data Analysis</a> |
| 35 | +<em>by JakeVanderPlas</em></li><li><ahref=https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X>Python for Data Analysis</a> |
36 | 36 | <em>by Wes McKinney</em></li><li><ahref=https://www.amazon.com/Numerical-Python-Scientific-Applications-Matplotlib/dp/1484242459>Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy, |
37 | 37 | and Matplotlib</a> |
38 | 38 | <em>by Robert Johansson</em></li></ul><p><iclass="far fa-file-video"></i><strong>Videos</strong></p><ul><li><ahref="https://www.youtube.com/watch?v=cYugp9IN1-Q">Advanced NumPy - broadcasting rules, strides, and advanced indexing</a> |
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