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Date/Time: Sat, 27 Apr 2024 00:02:00 +0000



Post From: Python for Sierra Chart

[2022-01-17 21:59:33]
Kiwi - Posts: 374
Although Python is slower than C it's likely that it doesn't matter in the time scales involved here. That's why its so popular in so many people facing applications - unless you're processing arrays of numbers as fast as you can the result is the same.

The funny thing I discovered the other day is that the benchmarks game rules preclude language modules in what seems like an arbitrary fashion and as a result you can't use numpy, numba or cython in the python tests. If you do, the disadvantage largely drops away.

So, if you're a bit of a greeny like me these days then go for C to reduce your carbon impact (less cpu cycles == less wasted heat == less problems for the grandkids) but otherwise Python is probably just fine.