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Counting CPU Instructions in Python (blog.mattstuchlik.com)

submitted 8 months ago by [email protected] to c/[email protected]

19 comments fedilink hide all child comments

Did you know it takes about 17,000 CPU instructions to print("Hello") in Python? And that it takes ~2 billion of them to import a module?

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[–] [email protected] 5 points 8 months ago (3 children)

Is it just me... or is there a lot of python hate lately?

[–] [email protected] 2 points 8 months ago (1 children)

Nah, my personal hate of indented blocks has been there since the late 90s /s 8-)

[–] [email protected] 3 points 8 months ago

Yes, I hate indentation as structure but I hate tracking brackets even more.

[–] [email protected] 1 points 8 months ago* (last edited 8 months ago) (1 children)

Same for me. I have used Python for most things since the late 1990s. Love Python. Have always hated the poor performance... but in my case mostly it was good enough. When it was not good enough, I wrote C code.

Python is good for problems where time to code is the limiting factor. It sucks for compute bound problems where time to execute is the limiting factor. Most problems in my world are time to code limited but some are not.

Python compute performance has always sucked.

[–] [email protected] 2 points 8 months ago

I get that... I'm not a developer, I'm a network engineer but I use a lot of python in my day to day operations. I always took python to be the "code for non-coders" which made it infinitely more approachable than some of the other languages.

I'm not running the F1 grand prix over here, I'm driving to get groceries, so what if it's not the fastest thing out there. Close enough is good enough for me. And in my experience that's what people are using python for, daily driving.

[–] [email protected] 0 points 8 months ago (1 children)

AI crowd using python probably @Big_Boss_77 @rimu

[–] [email protected] 1 points 8 months ago (1 children)

Ahh...that makes sense. I bet you're right.

[–] [email protected] 1 points 8 months ago* (last edited 8 months ago)

People use Python a lot as a Matlab, Excel/VBA, or R alternative. That was my use for many years. Some of these are compute focused problems and if the dataset is large enough and the computations complex enough then speed can be an issue.

As far as loading packages and printing. Who cares. These are not computationally intensive and are typically IO bound.