This year I'm trying to take the 'bite' out of computational finance a bit by using Python to better understand the relationships and formulas in the CFA 2018 L2 text. Here's the first installment, focusing on correlation. I'm using new service kyso.io to host my Jupyter notebooks, and so far it seems to be working well! Gladly welcome comments on this work.
If you want to download my jupyter notebook to edit yourself, you can do so here.
If the embed doesn't work, you can view the notebook here: https://kyso.io/matter/2018cfal2ss3r9part1/embed?code=output