There will always be cases (like audio processing, car brakes, pace makers) where hard real-time constraints prohibit GC languages (as well as l1 cache, instruction reordering and other optimizations). Also, consider that Python's performance frequently originates in it's bindings to libraries written in C, C++, Fortran, Rust.

I recently ran a few Java benchmarks and found that an array holding a bunch of objects incurred approx 3x the number of bytes compared to the expected number based on underlying class data structure. With current RAM prices, that is something to consider if you're building software that's meant to scale. Mileage may vary, but I expect JavaScript or Python will be similar.

So, sure. There is a case to be made that ergonomics and dev velocity. And premature micro optimizations might take your focus away from good systems architecture. But I've frequently found the need to peal of leaky abstractions and having to understand and be savvy at low level stuff too. Nothing wrong with studying the guts of a C64 or Amiga, today.

Python, Java or TypeScript are good educational tools, but you'd be doing yourself a disservice if you'd confine yourself to them without understanding computers.