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What is your use case? I struggle to see how ~4x faster Python has much value but I guess the effective speedup/value of that speedup depends on what you are do

What is your use case? I struggle to see how ~4x faster Python has much value but I guess the effective speedup/value of that speedup depends on what you are doing. EDIT: By that I meant, if you are trying to make something fast, wouldn't it make more sense to rewrite the critical path in a faster language rather than trying to improve Python's speed?

binary132 2y ago
OP is about a Python app that had a costly inner loop. This could perhaps be improved by switching to a JIT compiled implementation of Python like Pypy, but there are drawbacks and potential dealbreakers too.
l33t7332273 2y ago
Some things aren’t feasible to use another language for, but I see your point. My use case is MILP optimization. Constructing the model representation(the step necessary before calling some optimizer binary) is very slow in CPython, and Pypy makes development much less painful, since you often need to construct many models to get it right.
- hellohello2 2y ago
  Thanks, this is really interesting. How big of a speed up have you been observing?
  - v3ss0n 2y ago
    as other commenter and i had mentions Some cases 100x increase , On many Cases 20x , on Bad cases 4x , on worst cases around 10% slower than python ( In case of some C Extensions ) . On unusable cases some libraries ( those with rust bindings and non-public CPyExt API) PyPy fails to work.
LegionMammal978 2y ago
IME, PyPy can get up to 100x faster for many use cases. Most of my Python scripts have a lot of pure-Python code manipulating ints, strs, dicts, etc. (wrangling data between formats and/or doing basic processing), and switching from CPython to PyPy often turns the execution time from minutes into seconds. You'll likely get much less of a speedup if your program is already optimized around CPython's slowness, e.g., by calling out to libraries like numpy as much as possible. But PyPy lets my simple scripts punch above their weight without any extra circumlocutions.
v3ss0n 2y ago
Most of the case 20x faster not just 4x. 4x faster is mostly bad cases. Worst cases ( a bit slower than python) c-extension for these needing cext, use python. Why rewrite when you can achieve same without any code changes? PyPy performance rivals golang . In OP Case this could increase performance by 20x easily.

binary132 2y ago

OP is about a Python app that had a costly inner loop. This could perhaps be improved by switching to a JIT compiled implementation of Python like Pypy, but there are drawbacks and potential dealbreakers too.

l33t7332273 2y ago

Some things aren’t feasible to use another language for, but I see your point. My use case is MILP optimization. Constructing the model representation(the step necessary before calling some optimizer binary) is very slow in CPython, and Pypy makes development much less painful, since you often need to construct many models to get it right.

hellohello2 2y ago
Thanks, this is really interesting. How big of a speed up have you been observing?
- v3ss0n 2y ago
  as other commenter and i had mentions Some cases 100x increase , On many Cases 20x , on Bad cases 4x , on worst cases around 10% slower than python ( In case of some C Extensions ) . On unusable cases some libraries ( those with rust bindings and non-public CPyExt API) PyPy fails to work.

LegionMammal978 2y ago

IME, PyPy can get up to 100x faster for many use cases. Most of my Python scripts have a lot of pure-Python code manipulating ints, strs, dicts, etc. (wrangling data between formats and/or doing basic processing), and switching from CPython to PyPy often turns the execution time from minutes into seconds. You'll likely get much less of a speedup if your program is already optimized around CPython's slowness, e.g., by calling out to libraries like numpy as much as possible. But PyPy lets my simple scripts punch above their weight without any extra circumlocutions.

v3ss0n 2y ago

Most of the case 20x faster not just 4x. 4x faster is mostly bad cases. Worst cases ( a bit slower than python) c-extension for these needing cext, use python. Why rewrite when you can achieve same without any code changes? PyPy performance rivals golang . In OP Case this could increase performance by 20x easily.