Conversation

Special Snowflake
@zedverism211
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
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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
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Daniel
@growing_daniel
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
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Special Snowflake
@zedverism211
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.
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Special Snowflake
@zedverism211
It's better to actually take some time to understand what they are talking about rather than just dismissing us because you personally have not been affected.
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