What tools help profile memory leaks in Python CSV data processing?

[SofiaMM]

I'm working on a Python script that processes large CSV files, and I've hit a persistent bug where the script consumes all available memory and crashes after processing a few thousand rows. I've tried using a generator with `yield` to read the file line by line and confirmed the file isn't corrupted. For others who have debugged similar memory issues in data processing scripts, what tools or approaches did you find most effective? I'm particularly stuck on whether the problem is in my data structures, a hidden reference cycle, or something with the CSV library itself, and I'm not sure how to systematically profile memory usage within my loops to pinpoint the leak.