LINKS
We have posted a few links to great articles, class powerpoints, and PDFs that can provide you some review material for the workshops. It is highly encouraged for you to read these when you're available!! The reading material can also help accelerate your skills in python (and programming), so read away!
01
Fundamentals
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Definitive Guide to Python https://www.programiz.com/python-programming
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Python Cheat Sheet https://www.dataquest.io/blog/python-cheat-sheet/
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Expressions/Functions https://cs61a.org/assets/slides/02-Names_full.pdf
02
Numpy
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Python-Numpy Tutorial http://cs231n.github.io/python-numpy-tutorial/#numpy
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Numpy Arrays https://www.datacamp.com/community/tutorials/python-numpy-tutorial
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Numpy Cheat Sheet https://www.dataquest.io/blog/numpy-cheat-sheet/
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Scipy Lectures - Numpy https://scipy-lectures.org/intro/numpy/array_object.html#what-are-numpy-and-numpy-arrays)
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Complete Guide https://docs.scipy.org/doc/numpy-1.14.0/reference/index.html
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Practice problems https://github.com/rougier/numpy-100/blob/master/100_Numpy_exercises.ipynb
03
PAndas
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Pandas Basics https://www.learnpython.org/en/Pandas_Basics
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Pandas Cheat Sheet https://www.learnpython.org/en/Pandas_Basics
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Data Analysis Tutorial https://www.learnpython.org/en/Pandas_Basics
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Pandas Tutorial https://www.learnpython.org/en/Pandas_Basics