Computational Notebook speedrun competition ideas:
- Arithmetic w/ `assert`: addition/subtraction, multiplication/division, exponents/logarithms; and then again with {NumPy, SymPy, Lean Mathlib}
- Growth curve fitting; data modeling with linear and better models
- "Principia" work-along notebooks
- "Princeton Companion to [Applied] Mathematics" work-along notebooks
- Khan Academy work-along notebooks
"How I'm able to take notes in mathematics lectures using LaTeX and Vim" https://news.ycombinator.com/item?id=19452752 ...
"How should logarithms be taught?" https://news.ycombinator.com/item?id=28519356
"Python Data Science Handbook" (O'Reilly) http://jakevdp.github.io/PythonDataScienceHandbook
awesome-python#web-content-extracting: https://github.com/vinta/awesome-python#web-content-extracti...
https://learnxinyminutes.com/docs/python/
"What is the best way to learn to code from absolute scratch?" https://news.ycombinator.com/item?id=16299880
Input: at least a two-column table
Output: a symbolic (or NN) model with minimal error in predicting the test half of the data after a `test_train_split()`-like routine.