Is Python With Types Faster Intermediate Anthony Explains 126 MkT3KP2J15I
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today we talk about "soft" keywords and how they allow a growing programming language to evolve without breaking the world! today we go over narrowings and `TypeGuard` -- which enables you to write your own user-defined narrowings! playlist:Ā ... today I talk about the difference between object and Any when typing things! - intro to typing / mypy:Ā ... today I show the tools and processes I used to improve today I answer an interesting question which surprised me -- why today I follow up to the video about Protocol and show for doing some light structural
today I talk about an extremely common mistake with today I talk about packaging data / build files for today we introduce another typing / mypy concept: generics! I show a few examples of how to write generic functions and genericĀ ... today I show a common pitfall with `lru_cache` and how it will almost always be a memory leak if used on a method! - what isĀ ... today I show how I went about improving the performance of the tokenize module by 20-30%. first why I noticed it at all to beginĀ ... today I show you what the `TYPE_CHECKING` constant is in the typing module and why you would ever use it! - circular importsĀ ...
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and I actually went a bit further after recording! (it now can reorder all of pre-commit fine I'll make a video about it -- here's my stance on pinning dependencies and why I do what I do in the different scenarios.
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Last Updated: June 20, 2026
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