Python Numbers Every Programmer Should Know
Michael Kennedy (via Hacker News):
For example, how fast or slow is it to add an item to a list in Python? What about opening a file? Is that less than a millisecond? Is there something that makes that slower than you might have guessed? If you have a performance sensitive algorithm, which data structure should you use? How much memory does a floating point number use? What about a single character or the empty string? How fast is FastAPI compared to Django?
I wanted to take a moment and write down performance numbers specifically focused on Python developers. Below you will find an extensive table of such values.
Previously:
- Latency Numbers Every Programmer Should Know
- C Is Not a Low-level Language
- Performance Comparisons of Common Operations, 2016 Edition
