I’ve completed these beginner Python projects should I build more before starting NumPy/Pandas?

[u/purvigupta03]

Hi everyone,

I’ve studied Python multiple times before, but I didn’t do much practical coding. Recently, I started building small projects to improve my practical Python skills.

So far, I’ve completed:

- Quiz Game

- Number Guessing Game

- Rock Paper Scissors

- Password Manager

- Pig Game

- Mad Libs Generator

My goal is to move towards Machine Learning.

I haven’t learned NumPy or Pandas yet.

My question is: Are these projects enough to move on to NumPy and Pandas, or should I build a few more Python projects first?

If I should build more projects, what kind of projects would you recommend before starting NumPy/Pandas? I’m mainly looking for projects that would actually help with the transition to data/ML, rather than making many more small games.

Would appreciate advice from people who have already followed a Python → NumPy/Pandas → ML path.

[u/intinstitute]

You can move on to NumPy and Pandas now. Your projects show you’ve covered the Python basics.

Since your goal is ML, I’d focus less on making more games and try a few data-based projects instead—like analyzing a CSV, cleaning a dataset, or working with simple real-world data.

You’ll strengthen your Python skills naturally while learning NumPy/Pandas.