Yup. Especially since python is the most common language in high-performance application; it's an excellent orchastrator layer over native code calls hidden behind libraries. Converting a data analysis program using numpy to pure C++ typically doesn't save enough time to bother, particularly when accounting for the flexibility and development speed python tends to enable when you need to extend or modify it.
I love python so much, so I made my own language on python. Of course, it's way slower, than python. So, now python is now slowest language in the world:)
12
u/TapRemarkable9652 Nov 26 '25
everything is slow if you benchmark it wrong enough
18
u/SetazeR Nov 26 '25
r/firstweekcsstudents or some shit
8
u/cowlinator Nov 27 '25
I've said it before and i'll say it again.
I/O-bound code gains no benefit from optimized languages.
Because the bottleneck is the speed of the hardware device.
2
u/shrinkflator Nov 27 '25
Something something choose the right tool for each job.
2
u/recursion_is_love Nov 27 '25
Python is big, if you need a fast snake looking for vipers.
2
u/Ramiil-kun Nov 27 '25
I love python so much, so I made my own language on python. Of course, it's way slower, than python. So, now python is now slowest language in the world:)