Writing Faster Python - Introduction
Read OriginalThis article introduces a series on optimizing Python performance. It covers writing idiomatic code, avoiding anti-patterns, using tools like PyPy and Numba, and benchmarking with timeit. The author updates examples for Python 3.11 and modern hardware, discussing trade-offs between speed and readability.
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