But that doesn’t mean you should settle for slow Python code. There is probably something you can do to speed it up. Among the tools available for profiling the performance of Python code ...

One of these areas is the ability to profile the memory utilization of mixed Python and native C/C++ code, while also offering introspection capabilities that show how the different layers intertwine.

Find out by using Python’s built-in profiler to locate bottlenecks in your Python code Python may not be ... pstats profiler = cProfile.Profile() profiler.enable() main() profiler.disable ...