some_resources.txt

Some resources
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- Scipy lecture notes, 2022.1

Basic Numpy: http://scipy-lectures.org/intro/numpy/index.html
Advanced Numpy: http://scipy-lectures.org/advanced/advanced_numpy/index.html


- Numpy tutorial by Nicolas Rougier, several exercises, includes good visualizations of broadcasting

https://github.com/rougier/numpy-tutorial


- Numpy chapter in "Python Data Science Handbook"
https://jakevdp.github.io/PythonDataScienceHandbook/02.00-introduction-to-numpy.html



Previous schools:
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- 2021-Bourdeax was similar as Bilbao 

- 2019-Camerino - Advanced Numpy Patterns 

https://github.com/ASPP/2019-camerino-advanced-numpy

Similar / almost the same as given by Juan in Scipy Japan
https://github.com/jni/scipy-japan-2019/blob/master/Advanced%20NumPy%20Patterns.ipynb


- 2018- from Nicolas Rougier

https://github.com/ASPP/ASPP-2018-numpy


- 2016 Stefan 

https://github.com/ASPP/2016_numpy # Stefan

** exercises on fancy indexing and broadcasting
good visualizatins of broadcasting