Can python be as fast as some other languages?

This page summarizes the projects mentioned and recommended in the original post on /r/Python
Python Science and Data analysis High Performance Benchmarks Languages

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  • Numba

    NumPy aware dynamic Python compiler using LLVM

    • There are other python implementations like pypy which includes a JIT (Just In Time compiler). There are other jit which can run with official python (cpython) like numba (not all code can be optimized, but if you only need optimize your hot code path).

  • Cython

    The most widely used Python to C compiler

    • You can use a superset language of python called cython that generate C code. It can be used to generate C bindings or fast python (for cpython) modules implemented in a python like code.

  • 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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  • benchmarks

    Some benchmarks of different languages

    • How many languages on this list are ranked WELL above python, yet extraordinarily easy, syntactically, to write? A lot. How many of them have FFIs to use python's great libraries? Virtually all of them.

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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