4 ms·

If you can write it in 20 minutes, I'd be impressed. Excel has everything integrated with macros already so it is easier to use VBA.

westurner 4y ago
There are many ways to do ~no-code GUI analysis with [Jupyter] notebooks (e.g. with the VSCode jupyter notebook support) pretty quickly; with some pointing and clicking of the mouse if you please. 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
- westurner 4y ago
  > - Arithmetic w/ `assert`: addition/subtraction, multiplication/division, exponents/logarithms; and then again with {NumPy, SymPy, Lean Mathlib} "How I'm able to take notes in mathematics lectures using LaTeX and Vim" https://news.ycombinator.com/item?id=19452752 https://news.ycombinator.com/item?id=19452752 ... "How should logarithms be taught?" https://news.ycombinator.com/item?id=28519356 https://news.ycombinator.com/item?id=28519356
- westurner 4y ago
  > - Growth curve fitting; data modeling with linear and better models 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.
- digdugdirk 4y ago
  Any good recommendations for starting points to learn how to work with these? I'm not a programmer, but do have programming ability, and use excel all the time. Having a more flexible system with better inputs (tying in web scraping, data pipelines, etc) sounds like a great idea.
  - onefuncman 4y ago
    Try https://colab.research.google.com/ https://colab.research.google.com/
  - westurner 4y ago
    Kaggle learn: https://www.kaggle.com/learn https://www.kaggle.com/learn "Python Data Science Handbook" (O'Reilly) http://jakevdp.github.io/PythonDataScienceHandbook http://jakevdp.github.io/PythonDataScienceHandbook awesome-python#web-content-extracting: https://github.com/vinta/awesome-python#web-content-extracting https://github.com/vinta/awesome-python#web-content-extracti... https://learnxinyminutes.com/docs/python/ https://learnxinyminutes.com/docs/python/ "What is the best way to learn to code from absolute scratch?" https://news.ycombinator.com/item?id=16299880 https://news.ycombinator.com/item?id=16299880

westurner 4y ago

There are many ways to do ~no-code GUI analysis with [Jupyter] notebooks (e.g. with the VSCode jupyter notebook support) pretty quickly; with some pointing and clicking of the mouse if you please. 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

westurner 4y ago
> - Arithmetic w/ `assert`: addition/subtraction, multiplication/division, exponents/logarithms; and then again with {NumPy, SymPy, Lean Mathlib} "How I'm able to take notes in mathematics lectures using LaTeX and Vim" https://news.ycombinator.com/item?id=19452752 https://news.ycombinator.com/item?id=19452752 ... "How should logarithms be taught?" https://news.ycombinator.com/item?id=28519356 https://news.ycombinator.com/item?id=28519356
westurner 4y ago
> - Growth curve fitting; data modeling with linear and better models 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.
digdugdirk 4y ago
Any good recommendations for starting points to learn how to work with these? I'm not a programmer, but do have programming ability, and use excel all the time. Having a more flexible system with better inputs (tying in web scraping, data pipelines, etc) sounds like a great idea.
- onefuncman 4y ago
  Try https://colab.research.google.com/ https://colab.research.google.com/
- westurner 4y ago
  Kaggle learn: https://www.kaggle.com/learn https://www.kaggle.com/learn "Python Data Science Handbook" (O'Reilly) http://jakevdp.github.io/PythonDataScienceHandbook http://jakevdp.github.io/PythonDataScienceHandbook awesome-python#web-content-extracting: https://github.com/vinta/awesome-python#web-content-extracting https://github.com/vinta/awesome-python#web-content-extracti... https://learnxinyminutes.com/docs/python/ https://learnxinyminutes.com/docs/python/ "What is the best way to learn to code from absolute scratch?" https://news.ycombinator.com/item?id=16299880 https://news.ycombinator.com/item?id=16299880