Help Optimize Your Python Code and Improve Performance with CProfile
Автор: Shilleh
Загружено: 8 февр. 2023 г.
Просмотров: 399 просмотров
This tutorial demonstrates how to get started with profiling your code in Python using cProfile.
cProfile is a built-in library in Python that allows you to profile your Python code and determine how much time each function takes to execute, how many times it was called, and how much memory it uses. This information can be extremely useful in optimizing your code, as it gives you insight into which parts of your code are taking the most time to run and where potential bottlenecks might be. By identifying these slow areas, you can focus your optimization efforts and improve the overall performance of your code. Additionally, cProfile provides detailed statistical information about your code, including the number of calls, the time spent in each function, and the amount of memory used, which can help you make informed decisions about how to optimize your code and avoid common performance pitfalls.
TIMESTAMPS
00:00 Start
00:10 Overview/Background
2:00 Example
3:17 Get Started With Profiler
4:50 pstats Explained
7:30 Optimize
8:34 Outro

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