OOPs
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Object-Oriented Programming for Data Science: Building Scalable ML Systems
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Introduction I once inherited a data science project that resembled a spaghetti western – tangled code, global variables everywhere, and functions that mutated data in unpredictable ways. The model worked, but adding new features felt like performing open-heart surgery on a running engine. That’s when I rediscovered what every software engineer knows: Object-Oriented Programming isn’t…
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The Data Scientist’s Blueprint: Design Patterns That Separate Amateurs From Architects
Remember that time your Jupyter notebook became a 5,000-line spaghetti monster? That moment when adding one more feature felt like performing open-heart surgery on a house of cards? You’re not alone – 78% of data science projects fail to reach production due to poor code structure. But what if you could build systems that scale…
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