Re:The computers are fast, but you don't know it
by throwaway894345 on Friday June 17, 2022 @03:21PM
(#31783033)
> My point was that if this was the case, your Python code is probably suboptimal.
Sure, you are comparing against naive implementation as well, but if performance is a concern, don't do naive Python :)
I agree, and I'll go further: if performance could be a concern and you aren't certain that even optimized Python is up for the task, don't do Python. :)
I don't know how optimized these SSGs are, but given how frequently this complaint occurs and how popular they are, I would expect that someone would have tried to optimize them a bit. Even assuming naive implementations, tens of seconds versus tens of milliseconds for an I/O-bound task is pretty concerning.
> Yes, it's easy and sometimes even idiomatic to write non-performant Python code. Getting the most out of pure Python is hard and it means avoiding some common patterns.
It probably shouldn't be easy for someone to write non-performant Python code when they're trying desperately to write performant Python code. :)
> Getting the most out of pure Python is hard and it means avoiding some common patterns.
And even then, you're probably going to be coming in 10-100X slower than naive Go/Java/C#/etc unless your application happens to be a good candidate for C-extensions (e.g., matrix math) or if it really is I/O bound (a CRUD webapp). It honestly just seems better to avoid Python altogether than try to write Python without using "common patterns" (especially absent guidance about which patterns to avoid or how to avoid them).
I agree, and I'll go further: if performance could be a concern and you aren't certain that even optimized Python is up for the task, don't do Python. :)
I don't know how optimized these SSGs are, but given how frequently this complaint occurs and how popular they are, I would expect that someone would have tried to optimize them a bit. Even assuming naive implementations, tens of seconds versus tens of milliseconds for an I/O-bound task is pretty concerning.
> Yes, it's easy and sometimes even idiomatic to write non-performant Python code. Getting the most out of pure Python is hard and it means avoiding some common patterns.
It probably shouldn't be easy for someone to write non-performant Python code when they're trying desperately to write performant Python code. :)
> Getting the most out of pure Python is hard and it means avoiding some common patterns.
And even then, you're probably going to be coming in 10-100X slower than naive Go/Java/C#/etc unless your application happens to be a good candidate for C-extensions (e.g., matrix math) or if it really is I/O bound (a CRUD webapp). It honestly just seems better to avoid Python altogether than try to write Python without using "common patterns" (especially absent guidance about which patterns to avoid or how to avoid them).