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Mastering Unit Tests and Coverage in Python: Why 100% Isn't Always Enough
Think 100% code coverage means your software is bulletproof? It's a dangerous assumption that leaves massive logic gaps in your production code. This guide breaks down how to use Python's unittest and Coverage.py to build truly resilient systems, revealing why the most dangerous bugs often hide behind 'perfect' metrics.
Feb 26, 2021