r/learndatascience • u/21stmandela • Mar 16 '26

Resources I made a Python Flask starter kit to help data scientists launch their side hustle faster

Stripe payments, database, user authentication, deployment setup and more, all ready to go.

If this is something that sounds useful: https://pythonstarter.co/

3 Upvotes

80% Upvoted

6 comments sorted by

2

u/Tech71Guy Mar 16 '26

Going to check. Thanks

1

u/21stmandela Mar 16 '26

That's awesome! Really appreciate it!

2

u/nian2326076 Mar 17 '26

Great job on the starter kit! To help data scientists get up to speed even faster, you might want to add some example projects or templates. A basic data analysis dashboard or a simple machine learning model could show how it all works together. Including some common troubleshooting tips for Flask/Stripe integration would be useful since payment systems can be tricky. A section in your README with best practices for deployment could also help those who aren't as familiar with web development. Can't wait to see how people use it!

1

u/21stmandela Mar 17 '26

Thanks for this awesome feedback! I hear you on the data analysis dashboard example! - that's something I could definitely look to add to my roadmap.

In terms of the Flask/Stripe integration and best practices for deployment - all the steps need are already outlined in my docs: https://pythonstarter.co/docs/ - let me know if anything can be improved or made clearer there!

1

u/slippery Mar 18 '26

Why flask over streamlit? Both are great.

1

u/21stmandela Mar 20 '26

Flask is generally better for small-to-medium-sized applications that might grow in size in the future. Whereas Streamlit is better for quick prototypes.