The counter-intuitive rise of Python in scientific computing

• Pluto.jl

  78 4,871 9.5 JavaScript

  🎈 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.

• julia

  350 44,510 10.0 Julia

  The Julia Programming Language

  

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

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• adaptrapezoid_benchmark

  1 21 10.0 Scala

  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

  11 57 0.0 Julia

  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

  10 122 0.0 Julia

  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.

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Suggest a related project