What is memory profiling in Python?

What is memory profiling in Python?

Memory profiling in Python is the process of measuring the memory usage of a program to identify memory leaks and optimize performance.

How can I use memory_profiler to profile my Python code?

You can use the memory_profiler module by decorating your functions with @profile and then running your script with the -m memory_profiler option.

Can you show me an example of using memory_profiler?

Sure! Here's a simple example:

from memory_profiler import profile

@profile
def my_function():
    a = [1] * (10 ** 6)
    b = [2] * (2 * 10 ** 7)
    del b
    return a

if __name__ == '__main__':
    my_function()

Run this script with python -m memory_profiler your_script.py to see the memory usage.

What are some common issues that memory profiling can help identify?

Memory profiling can help identify memory leaks, excessive memory usage, and inefficient data structures that consume more memory than necessary.