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poo-poo, people will insult your sensibilities using whatever language you choose, the "problem" is not them, or the language or its idioms, its you.

If you write ML code for money, you are a pro, the end. Python is not perfect, but everything else is worse, far worse. What is the product that falls out of a ML pipeline ? ML pro-tip: its not hand-crafted artisanal code.

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My complaints about ML prettiness were unclear but to clarify it's usually criticism aimed at library authors who often come from very academic backgrounds with very poor sense (lack of exp?) of just how lazy professional developers are. Case in point, you don't care if it comes out as poop because you're getting shit done. Hell it seems like you don't even care if you have to wade in it for another 5 years.

Kudos, but what if i told you if the tooling authors could have ensured you never wrote poop but still got shit done?

The end product is a model.

If you can't describe how that model makes its way into a product and is consumed, then you aren't a pro, the end.

From the product's perspective, all you produce is a configuration file.

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