All our class materials and HOMEWORK can be found here.

To download a file:

1. click the file

2. right click "raw" button and choose "Save Link As"

3. When you save the file, make sure that it is in the exact Format (the same extension, say .pdf, .ipynb, .txt, .dat, .csv, etc...)

Resources:

1. Best place to find programming related answers : https://stackoverflow.com/
2. Basic Python3.x (required), Chapter 1 - 10 in the tutorial: https://www.py4e.com/html3/01-intro
3. Probability: prerequisite of Grinstead: Chapter 1 - 7 https://math.dartmouth.edu/~prob/prob/prob.pdf
4. Probability: we will cover the rest of Grinstead
5. Highly Recommended :we will NOT use R/Stan, but the stats part is useful
   1. Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath.
   2. Bayesian Data Analysis, by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin. 3rd Edition.