When I start introducing Python I use this chart [1]:

Five Dimensions of Python:

• Level 0: core syntax with keywords & punctuation, indentation (import, if...)
• Level 1: a large set of built-ins (e.g. print)
• Level 2: special names with the double underlines
• Level 3: Standard Library (e.g. math)
• Level 4: 3rd Party Ecosystem (e.g. numpy, pandas, matplotlib)

Here's a Level 2 topic I've been recently working on:

https://nbviewer.org/github/4dsolutions/m4w/blob/main/gadzooks.ipynb

I know, we don't all love those __ribs__ (special names), however that's a 

benefit of Free Open Source: you can fork and adapt, take the best ideas, 

and leave the rest.

This one is about how implementing __add__ gets you default behavior 

for __iadd__ with no extra work, with the option to go on to add your

own __iadd__.

Kirby

[1] example of me doing that:

https://github.com/4dsolutions/clarusway_data_analysis/blob/main/python_warm_up/warmup_python_intro.ipynb

coming from:

https://nbviewer.org/github/4dsolutions/clarusway_data_analysis/blob/main/DAwPy_S1_%28Numpy_Arrays%29/daily_schedule.ipynb

(Exhibit: some Python teaching in the wild....)