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Python Debugging Tricks You Wish You Knew Sooner
Learn how to fix bugs faster with Python’s most overlooked debugging tools and techniques.
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Every developer hits roadblocks, but debugging in Python doesn’t have to feel like detective work. With a few smart techniques and built-in tools, you can spot issues faster and write cleaner, more reliable code.
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Top 3 Debugging Tricks You’ll Use Right Away
Use pdb for Real-Time Control
Python’s built-in debugger lets you pause code, inspect variables, and step through logic line by line. It’s the fastest way to see where your program goes off track.
Master print() Alternatives
Don’t spam print() everywhere. Use logging with levels (INFO, WARNING, ERROR) to make your debugging cleaner and scalable as your codebase grows.
Try traceback and cProfile for Hidden Insights
These tools help you understand not just what failed, but why… and how long each function takes to execute.
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Take Debugging to the Next Level
When you’re ready to move beyond the basics, try these advanced tools:
pytest for structured test suites
pdb++ for color and autocompletion
ipdb for IPython-style debugging
faulthandler for deeper stack traces
memory_profiler for finding leaks
Adding smart debugging habits to your workflow is the best way to keep your projects running smoothly.
That’s it for today.
Thanks for being part of the Hackr.io community. Keep learning. Keep experimenting. And keep committing to better code.
The Hackr.io Team
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