Teaching how to code is broken

Article seems to be complaining about the typical chapter layout for a reference book on a given programming language. Such books aren't intended to teach coding. The intended audience is those who already understand how to code, in a different language.

This comment covered several hot topics.

1. Girls in STEM: society needs to quit telling people "math is hard, tee hee" and quit shopping in the Pink Aisle at the toy store and reinforcing that culture. Buy your kids Lego and Raspberry Pi circuit kits and see what happens.

2. CS is part coding, part science of algorithms, and part software engineering. We have to quit intertwingling all terms into the catchall "CS" bucket because sometimes "how to run excel" gets thrown in there too. Maybe best to drop the term altogether and use more descriptive names for each study.

Yes! I find all of academia to have the same broken teaching method. Connect what you're teaching me to something tangible that I can relate to!

I have always struggled with how to advise my friends & family on this path of learning. It seems like everyone wants to be a WFH developer these days, but I don't know how to enable them to succeed on that path. "Go build something you want to build!" is something I keep reiterating (as does this article). But most don't seem to be interested in that for whatever reason (presumably because its fucking hard).

Maybe I should just leave it at that - I am getting to a point where if someone doesn't have the willpower to go burn a whole weekend on a pile of bullshit that won't even compile (i.e. because they really want to solve some problem), then maybe they won't have the necessary pain tolerance required to truly master the skillset.

(Disclosure: I do corporate training (Python and Data Science) for a living.)

I generally don't teach coding to newbies, so a lot of the coding I teach is correcting poor mental models and teaching features (somewhat) unique (or different) in Python.

My best Pandas courses have been when the client opts to use their data for the course (instead of my canned data). The students are already subject matter experts with the data and when they learn some of the tricks to slice and dice, summarize, and visualize, they are off to the races. They dig right in.

Teaching as the article suggests is very difficult because examples that appeal to some or boring or confusing to others. I'm not saying it won't work, but there are cons as well. When I'm teaching with my "canned data", I try to mix in a few different datasets from different areas so students can see that the ideas are generally adaptable.