Guido van Rossum on types, speed, and the future of Python

This page summarizes the projects mentioned and recommended in the original post on /r/Python
Science and Data analysis julia-language Python Julia Numpy

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  • Numba

    NumPy aware dynamic Python compiler using LLVM

    • In many cases it would be sufficient to have a few type annotations combined with type stable code in order for a compiler or type checker to infer most types. Examples for this are https://julialang.org/ and https://numba.pydata.org/ .

  • julia

    The Julia Programming Language

    • In many cases it would be sufficient to have a few type annotations combined with type stable code in order for a compiler or type checker to infer most types. Examples for this are https://julialang.org/ and https://numba.pydata.org/ .

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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