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Here’s how to benchmark Python functions like a pro—without cluttering your code with repetitive time.time() calls. In this walkthrough, we’ll build a reusable @timer decorator that automatically tracks execution time for any function, from train_model() to predict(). You’ll see how it simplifies timing logic, keeps your ML pipeline ...
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