What are the best practices for using memory_profiler in Python?
To effectively use memory_profiler, start by profiling small functions to identify memory usage patterns.
How can I visualize the memory usage data?
You can use the @profile
decorator to annotate functions and then visualize the output using tools like Matplotlib.
Are there any common pitfalls to avoid?
Yes, avoid profiling large scripts all at once; focus on specific functions to get clearer insights.
Can memory_profiler be used with Jupyter notebooks?
Absolutely! You can use memory_profiler in Jupyter by installing it and using the %%memit
magic command.
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