Among the tools available for profiling the performance of Python code, the simplest is the timeit module.timeit is used to measure the speed of small snippets of code — a few lines, a function ...

Profiling in Python is like having a magnifying glass to examine your code's performance. By running a profiler, you get detailed reports on the execution time of each part of your program .

Profiling Python code is crucial for optimizing performance, especially in multi-threaded applications where concurrent operations can lead to complex behavior and unexpected bottlenecks.

Beyond cProfile for Python profiling cProfile is hardly the only way to profile a Python application. cProfile is certainly one of the most convenient ways, given that it’s bundled with Python.