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[-] MeanEYE@lemmy.world 15 points 4 months ago

That's because it's not relevant. Speed can be compensated for either by caching or outsourcing your load, if there's such a huge need to process large amount of data quickly. In day to day work I can't say I have ever ran into issues because code was executing slow. Normal operation Python is more than capable of keeping up.

On the other side of the coin you have memory management, buff and stack overflows and general issues almost exclusive to C, which is something you don't have to worry about as much with higher level languages. Development with Python is simply faster and safer. We as developers have different tools, and we should use them for their appropriate purpose. You can drive nails with a rock as well, but you generally don't see carpenters doing this all day.

[-] AlotOfReading@lemmy.world 10 points 4 months ago* (last edited 4 months ago)

You can sometimes deal with performance issues by caching, if you want to trade one hard problem for another (cache invalidation). There's plenty of cases where that's not a solution though. I recently had a 1ns time budget on a change. That kind of optimization is fun/impossible to do in Python and straightforward to accomplish Rust or C/C++ once you've set up your measurements.

[-] MeanEYE@lemmy.world 0 points 4 months ago

Which is exactly what I said. Most of the times you can work around it. Sure cache invalidation can be hard, but doesn't have to be. If you need performance use more performant language. Right tool for the job.

[-] possiblylinux127@lemmy.zip 0 points 4 months ago* (last edited 4 months ago)

Don't throw the baby out with the bath water. There are many applications that don't have performance needs such as a calculator app

[-] AlotOfReading@lemmy.world 3 points 4 months ago

You can find plenty of people complaining online about the startup time of the windows and gnome (snap) calculators. The problem in those cases isn't solved by compiled languages, but it illustrates that it's important to consider performance even for things like calculator apps.

[-] possiblylinux127@lemmy.zip 0 points 4 months ago

Especially since languages such as Python and JavaScript are really good a event programing where you have an event that runs a function. Most of the CPU time is idling anyway.

this post was submitted on 14 Jul 2024
485 points (96.7% liked)

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