PYTHON vs OCTAVE for Matlab alternative

This page summarizes the projects mentioned and recommended in the original post on /r/math

Civic Auth - Simple auth for Python backends
Drop Civic Auth into your Python backend with just a few lines of code. Email login, SSO, and route protection built-in. Minimal config. Works with FastAPI, Flask, or Django.
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  1. Spyder

    Official repository for Spyder - The Scientific Python Development Environment

  2. Civic Auth

    Simple auth for Python backends. Drop Civic Auth into your Python backend with just a few lines of code. Email login, SSO, and route protection built-in. Minimal config. Works with FastAPI, Flask, or Django.

    Civic Auth logo
  3. githut

    Github Language Statistics

    The official julia user developer survey for 2022 lists GitHub as the largest platform of people using julia which intuitively also seems fitting to me as it seems like the community is very pro "open code, open science". But checking the GitHub language trends (via https://madnight.github.io/githut/ and https://tjpalmer.github.io/languish/) you can see that Julia has been rather stagnant since 2019 w.r.t. some measures and only slowly growing w.r.t. others.

  4. Numba

    NumPy aware dynamic Python compiler using LLVM

    Regarding speed, I don't agree this is a good argument against Python. For example, it seems no one here has yet mentioned numba, a Python JIT compiler. With a simple decorator you can compile a function to machine code with speeds on par with C. Numba also allows you to easily write cuda kernels for GPU computation. I've never had to drop down to writing C or C++ to write fast and performant Python code that does computationally demanding tasks thanks to numba.

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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Did you know that Python is
the 2nd most popular programming language
based on number of references?