The counter-intuitive rise of Python in scientific computing

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

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  • Pluto.jl

    🎈 Simple reactive notebooks for Julia

    And I can really recommend https://github.com/fonsp/Pluto.jl as an alternative to Jupyter notebooks (but Jupyter supports Julia, too), giving way better reproducibility.

  • InfluxDB

    Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.

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  • julia

    The Julia Programming Language

    As a starting point for people not knowing Julia yet: https://julialang.org/

  • adaptrapezoid_benchmark

    benchmark languages that potentially suitable to scientific computing with the adaptive trapezoid numeric integration algorithm

    Julia is C speed if you write optimised code https://github.com/astrojhgu/adaptrapezoid_benchmark/blob/master/Result.md notice that Julia is faster than C++ and rust here and is the only thing close to C. MATLAB doesn't come close to this as it is interpreted it would be orders of magnitude slower.

  • TwoBasedIndexing.jl

    Two-based indexing

    There are other choices like https://github.com/simonster/TwoBasedIndexing.jl and https://github.com/giordano/StarWarsArrays.jl if you do not like 1-based indexing.

  • StarWarsArrays.jl

    Arrays indexed as the order of Star Wars movies

    There are other choices like https://github.com/simonster/TwoBasedIndexing.jl and https://github.com/giordano/StarWarsArrays.jl if you do not like 1-based indexing.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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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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Did you konow that Julia is
the 49th most popular programming language
based on number of metions?