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Type errors are super easy to get and a massive problem. Especially when you use libraries like Pandas/Numpy which will return different types for the same function depending upon the context.

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Daniel

@growing_daniel

· Apr 18

Replying to @zetalyrae

python was the first language I learned and most of what I code and I never understood this deep fear of type errors, it's pretty rarely an issue in practice

Daniel

@growing_daniel

Replying to

@zedverism211

ah, I don't use those libraries Also my stack surrounds a dynamodb instance and I do use marshmallow to enforce types going in and out of there so I have a source of type reliability in the middle of the app that I benefit from

6:01 PM · Apr 18, 2022Twitter Web App

Replying to

Right. Which supports the OP. In a dynamically typed language like Python, you need to do so much more effort in production quality software than in a statically typed language. Which eliminates any advantage to dynamic typing in real projects.

Daniel

@growing_daniel

Apr 18

Ok, not trying to win or have an argument, just saying my experience

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