编程

Python Profiling/Python性能评估

文章目录
  1. 1. memory_profiler

性能主要包括两方面：时间和空间

Python性能调优相关的库

  1. memory_profiler：可评估 .py 文件
  2. filprofiler：可评估文件和jupyter notebook中的代码

memory_profiler

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# sample.py
from memory_profiler import profile

@profile
def run():
    # TODO: Replace with code to benchmark
    print('do work!')

if __name__ == "__main__":
    run()
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JinlongLi (master *) folder $ python sample.py
do work!
Filename: sample.py

Line #    Mem usage    Increment  Occurences   Line Contents
============================================================
    10     39.9 MiB     39.9 MiB           1   @profile
    11                                         def run():
    12                                             # TODO: 
    13     39.9 MiB      0.0 MiB           1       print('do work!')