Short Overview: today I talk about why dictionary literals (and other literals) are faster than their function-called counterparts - today I show how I tracked down a performance regression, how I fixed it, and ultimately how it made pip way faster!

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today I analyze / address an impressive claim -- that cpython's hash can be changed and improve performance drastically! today I talk about gradual typing, what that means for mypy, and the settings I tend to use when I'm adding types to a codebase ... today I show how I tracked down a performance regression, how I fixed it, and ultimately how it made pip way faster!

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today I show how I tracked down a performance regression, how I fixed it, and ultimately how it made pip way faster! today I talk about why dictionary literals (and other literals) are faster than their function-called counterparts -

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today I show you a surprisingly slow part of flake8 that got fixed in 5.0 - pretty profiling: ... (it now can reorder all of pre-commit faster than `isort` can import!) - pretty

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  • today I show how I tracked down a performance regression, how I fixed it, and ultimately how it made pip way faster!
  • today I talk about why dictionary literals (and other literals) are faster than their function-called counterparts -
  • (it now can reorder all of pre-commit faster than `isort` can import!) - pretty
  • today I talk about gradual typing, what that means for mypy, and the settings I tend to use when I'm adding types to a codebase ...
  • today I analyze / address an impressive claim -- that cpython's hash can be changed and improve performance drastically!

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