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- no idea for Matlab, I was forced to learn it in some undergrad course and never touched it again in favor of python+numpy
- so there is my resource list for python:
- - Dive Into Python 3 http://www.diveintopython3.net/
- - Automate the Boring Stuff with Python book https://automatetheboringstuff.com/
- - Formatted printing overview https://pyformat.info/
- - Python's Magic Methods https://rszalski.github.io/magicmethods/
- - Google's Python Style Guide https://google.github.io/styleguide/pyguide.html and ofc PEP8 style guide
- - Key differences between Python 2.x and 3.x (nowadays you can ignore 2.x existence) http://sebastianraschka.com/Articles/2014_python_2_3_key_diff.html
- - Python Numpy Tutorial from Stanford's CS231n course https://cs231n.github.io/python-numpy-tutorial/
- - Python Data Science Handbook (slightly outdated, the IPython notebook is now Jupyter Notebook) https://jakevdp.github.io/PythonDataScienceHandbook/
- - Introduction to statistics using Numpy https://mubaris.com/2017/09/09/introduction-to-statistics-using-numpy/
- - Advanced Numpy Techniques http://nbviewer.jupyter.org/github/vlad17/np-learn/blob/master/presentation.ipynb
- - Numpy Exercises for Data Analysis https://www.machinelearningplus.com/python/101-numpy-exercises-python/
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