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Concurrency & performance

asyncio, threading, multiprocessing, and profiling-friendly performance patterns.

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Concurrency & performance easy

How to Vectorize a Function with a Pure Python Fallback

Create a decorator that calls a scalar function directly for a single value and routes list inputs to a pure-Python fallback for vectorized processing without NumPy.

vectorization decorator fallback
Python 
import math


def fallback_vectorize(func, fallback=None):
    """Vectorize a scalar function with a pure-Python fallback for lists."""
    if fallback is None:
        fallback = lambda x: [func(i) for i in x]

    def wrapped(*args):
        if len(args) == 1 and isinstance(args[0], (list, tuple)):
            retur…
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