loop profile python

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loop profile python

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Last edited Oct 2, 2024

Created on Dec 11, 2025

This example profiles Python loop performance over a list of 100,000 Pandas DataFrames. It uses `cProfile` and `pstats` to identify time-consuming functions, and `memory_profiler` plus `psutil` to measure memory usage. A custom `TimedIterator` class logs the execution time of each `__next__` call, while separate scripts compare simple `for` loops against explicit iterators. The visualization shows timing results in milliseconds and memory consumption in kilobytes and megabytes for both iteration techniques.

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