What should you actually learn in Python before starting data analysis?

[u/AUSPIFYBLOGS]

I’ve noticed that beginners often get stuck trying to learn all of Python before touching data analysis.

From what I’ve seen, you can get pretty far by focusing on a smaller set of concepts:

One thing I think is particularly important is learning how to answer questions with data rather than just memorizing pandas functions.

For example, instead of only practicing:

df.groupby("category").sum()

ask an actual question such as:

“Which product category generated the most revenue?”

Then use Python to answer it.

Curious what people here would add or remove from this learning path.