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Parse, Don't Validate (2019)

(lexi-lambda.github.io)
389 points melse | 1 comments | 26 Jun 21 07:23 UTC | HN request time: 0.205s | source
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kortex ◴[26 Jun 21 14:15 UTC] No.27642049[source]▶
This principle is how pydantic[0] utterly revolutionized my python development experience. I went from constantly having to test functions in repls, writing tons of validation boilerplate, and still getting TypeErrors and NoneTypeErrors and AttributeErrors left and right to like...just writing code. And it working! Like one time I wrote a few hundred lines of python over the course of a day and then just ran it... and it worked. I just sat there shocked, waiting for the inevitable crash and traceback to dive in and fix something, but it never came. In Python! Incredible.

[0] https://pydantic-docs.helpmanual.io/

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nooorofe ◴[26 Jun 21 23:54 UTC] No.27647141[source]▶
There is one thing concerns me about type annotation. With annotation Python code looks like Java code, but with it I don't have advantages of Java (like speed). Besides I see things like `x: typing.Union[str, typing.Any]` - maybe better no annotation.
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1. kortex ◴[27 Jun 21 14:51 UTC] No.27652024[source]▶
> x: typing.Union[str, typing.Any]

That's absolutely a valid and useful annotation. It tells me, and autocomplete, that "x" is probably a str, more likely than not, but I need to be aware that it might not be.