My student work while learning the most important language in data science // Microcourse work in Python provided by Kaggle.com, MIT, other various web locations & compiled at my natural pace. // Follow along & help me, or learn with me. @motherofdata, 2-2020,
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Lessons
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Tutorials
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Exercises
All python work will be saved here, managed by issues and commits.
#Lessons
*1) Hello, Python*
* A quick introduction to Python syntax, variable assignment, and numbers
2) Functions and Getting Help
* Calling functions and defining our own, and using Python's builtin documentation
3) Booleans and Conditionals
* Using booleans for branching logic
4) Lists
* Lists and the things you can do with them. Includes indexing, slicing and mutating
5) Loops and List Comprehensions
* For and while loops, and a much-loved Python feature: list comprehensions
6) Strings and Dictionaries
* Working with strings and dictionaries, two fundamental Python data types
7) Working with External Libraries
* Imports, operator overloading, and survival tips for venturing into the world of external libraries
#Tutorials
1.1) Hello, Python (#1)*
* Quick, easy and funny spam program.
#Exercises with Scratch work