December 2018
Beginner to intermediate
796 pages
19h 54m
English
There are a few different ways to profile a Python application. Profiling means having the application run while keeping track of several different parameters, such as the number of times a function is called and the amount of time spent inside it. Profiling can help us find the bottlenecks in our application, so that we can improve only what is really slowing us down.
If you take a look at the profiling section in the standard library official documentation, you will see that there are a couple of different implementations of the same profiling interface—profile and cProfile:
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