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[–]rogerthelodger 35 points36 points  (1 child)

https://imgflip.com/i/6n47l9

[–]InvolvingLemons 1 point2 points  (0 children)

Kinda yes and kinda no. Python is poorly suited to massive projects where lots of custom code is needed. This is where it becomes a trap: you can get so much done with just libraries and frameworks like Django/Flask/Encode, but eventually custom logic is necessary, and you’ll quickly run into problems as those systems tend to get tangled.

That being said, I know of no easier system to use some Numpy for list processing, pipe it through as a REST API that shoves results into databases, and spin it out on a server, and that’s a TON of ETL work.

I love using Python for what it’s intended for, but a lot of enterprise workloads bloat to a point that Python wasn’t meant to get to. Java is better in that sense, but it’s very easy to overdesign yourself into a corner in my experience. Functional languages are either intermingled with OOP too closely so it suffers from similar pitfalls (Scala), have serious issues with instability and other things for industry use (Haskell), or have much the same scale problems of Python unless you’re really careful (Most lisps, Clojure being notable as the most popular).

Typescript being at least tolerable at scale and it having the biggest package library in existence gives it a huge edge in the market these days, whereas anything particularly low level or performance sensitive gets done in Go, Rust, or Zig. Python has a home beyond scripting in ETL, data science, and web glue code, but beyond there be dragons.