Mistakes to Avoid During Python Library Creation

This page summarizes the projects mentioned and recommended in the original post on dev.to
#Python #Science and Data analysis #High Performance #Cython #Numpy

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  • semver

    Semantic Versioning Specification

    Semantic Versioning 2.0.0 | Semantic Versioning (semver.org)

  • Numba

    NumPy aware dynamic Python compiler using LLVM

    Numba: A High-Performance Python Compiler (pydata.org)

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    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • Cython

    The most widely used Python to C compiler

    Cython: C-Extensions for Python

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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