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Why Python Loops Are "Slow": A Gentle Introduction to Interpretation, Bytecode, and Fast Code
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Marks
Author(s):
Tyler Riccio
Location
Ballroom C
Date
jul Sun 27
Days Raw Files
Start
14:00
First Raw Start
13:46
Duration
00:30:00
Offset
0:13:44
End
14:30
Last Raw End
15:04
Chapters
00:00
0:21:13
0:25:08
Total cuts_time
28 min.
https://www.pyohio.org/2025/program/talks/why-python-loops-are-slow
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Python loops are "slow", is a phrase every python programmer has heard. For better or worse, it is partially true. This talk breaks down how Python executes code and why that creates overhead, especially in tight loops. I'll also explore how tools like NumPy, SIMD, and JIT compilation achieve massive speedups by working with the CPU instead of against it. You should walk away from this talk with more insight into why loops are slow, how python code is executed at a high level, and what you should do about it if anything.
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2025-07-27/13_46_16.ts
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