Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

word-autocorrelation code might be too complicated for 20-30 minute breakout room #59

Open
wikfeldt opened this issue May 18, 2022 · 3 comments

Comments

@wikfeldt
Copy link
Contributor

consider having simpler examples, and have autocorrelation as optional exercises or as "project work" on last day

@wikfeldt
Copy link
Contributor Author

Word-acf is still a nice type of example because it's somewhat realistic as a scientific problem and maybe corresponds to how people often write python, so maybe best approach is to simplify by removing all the setup/boilerplate and only focus on the two core functions. I.e. use pre-cleaned data etc

@qianglise
Copy link
Contributor

i agree, we should extract two separate py files, one for word preprocessing and another for word-acf and use them as examples.

@wikfeldt
Copy link
Contributor Author

similarly to what's being done to the Julia lesson, the word-acf example can move into a separate exercises episode where all techniques learned can be applied to the same problem

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants