How can I use tracemalloc for advanced memory profiling in Python?

How can I use tracemalloc for advanced memory profiling in Python?

You can use tracemalloc to track memory allocations in your Python code. Start by importing it and calling tracemalloc.start(). Then, you can take snapshots of memory usage and compare them.

What are snapshots and how do I compare them?

Snapshots are saved states of memory allocations at a specific point in time. You can compare two snapshots using the compare_to() method, which helps identify memory leaks or high memory usage.

Can I filter the results to focus on specific parts of my code?

Yes, you can filter the results by using the filter_traces() method to focus on specific file paths or function names, making it easier to analyze memory usage.

Are there any best practices for using tracemalloc effectively?

Some best practices include starting tracemalloc as early as possible, taking snapshots at critical points, and using filters to narrow down your analysis.