Python for Data Science - Resources for Learning Basic Python Programming
This video presents a handful of useful resources for learning basic Python programming. The list is designed to quickly (in an hour or so) get new Python users familiar with the components of Python that are useful for general scripting in data science. Pandas, Scikit-learn, and similar tools are covered in detail in other videos so they are not addressed here.
This video is for new Python users. If you're already familiar with basic Python programming concepts you can skip this one.
Notes:
General overviews:
Python for Beginners - https://www.python.org/about/gettings...
Beginner's Guide - https://wiki.python.org/moin/Beginner...
Learn Python in 10 Minutes - https://www.stavros.io/tutorials/python/
Installing packages:
You'll usually use pip and PyPi, so start here: https://packaging.python.org/tutorial...
When you need something more, i.e., installing from source or installing from Github read the rest: https://packaging.python.org/tutorial...
Importing packages:
https://www.tutorialspoint.com/python...
Data types:
E.g., booleans, numerics, strings, lists, sets, and dictionaries
https://en.wikibooks.org/wiki/Python_...
Control flow:
E.g., for loops, if/elif/else, continue, break, next
https://docs.python.org/3/tutorial/co...
Defining functions:
E.g., fizz_buzz()
http://anh.cs.luc.edu/python/hands-on...
List also available at: https://www.bryancshepherd.com/progra...
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