What are the best debugging tools for a Python data pipeline with memory leaks?
#1
I'm working on a fairly complex Python data pipeline that's started throwing a cryptic intermittent error related to memory management, and my usual print statement debugging isn't cutting it. I know I should be using a proper debugger or profiler but I've always found the setup intimidating. For intermediate developers who have moved beyond basic debugging, what tools or workflows have you found most effective for isolating tricky bugs in larger Python applications? How do you effectively use a debugger like pdb or an IDE's integrated tool to step through asynchronous code or third-party libraries, and are there specific memory profiling techniques that helped you identify leaks in long-running processes?
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