Is it time for Python to have a statically-typed, compiled, fast superset?

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Python Compiler High Performance Interpreter JIT

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  • cinder

    Cinder is Meta's internal performance-oriented production version of CPython. (by facebookincubator)

    • The other thing that was interesting to me, was the potential of type annotations to help make for a faster, safer experience on the compiler end of things. One example is seen in Meta’s Cinder project, on the docs it explains how typing can be used to reduce the number of steps for the compiler ([cinder/static_python.rst at cinder/3.8 · facebookincubator/cinder · GitHub](https://github.com/facebookincubator/cinder/blob/cinder/3.8/CinderDoc/static_python.rst)), making it more effective.

  • Cython

    The most widely used Python to C compiler

    • Cython is a statically typed, compiled, fast superset, and it's been out for years. It's neat.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • mypyc

    Compile type annotated Python to fast C extensions

    • More recent approaches include mypyc which is (on the tin) quite close to what you describe, and taichi that lives in between.

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