Comments (6)
from islp_labs.
You mean you run the labs locally before every push? I don't wanna stop you in doing that but to make sure nothing is broken it's a good idea to repeat this step in an automated workflow... My comment above is unrelated to pre-commit
from islp_labs.
from islp_labs.
You are certainly by far the best academic I came across when it comes to adopting good DevOps practices :-) Of course, you may argue that you test your notebooks already downstream in the development process of ISLP --- the package. And that's good, too. However, I think given you don't have to pay for running those workflows there is no harm to run through them again, in particular that you get a beautiful JupyterBook as a byproduct.
from islp_labs.
Given your personal tastes, you may enjoy browsing through https://github.com/cvxgrp/.github
You would be the 2nd user in the stats department :-)
from islp_labs.
and https://www.cvxgrp.org/cvx_short_course/docs/index.html
from islp_labs.
Related Issues (11)
- Missing output HOT 3
- Bike sharing data example HOT 2
- seed_everything() unavailable in requirements.txt pytorch-lightning version HOT 7
- Contributors HOT 13
- RunTimeErrors HOT 5
- Lab Chapter 04 - standarization done before train/test split HOT 2
- Chapter 5 Conceptual exercise 2h HOT 1
- Typos HOT 3
- Chapter 4 Classification Python Lab corr() numeric_only no longer supported?
- Installation under Python 3.12 fails HOT 1
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from islp_labs.