Why Julia's multiple dispatch is so greated explained with Pokemons

• pytype

  7 3,736 9.8 Python

  A static type analyzer for Python code

  

  i am perhaps biased, since my day job is working on static type inference for python[0], but i genuinely do believe that encoding properties like this into the type system gives you not just an extra level of safety, but an extra level of expressiveness when modelling your data in code. it's the equivalent of having units in physics.

  [0] https://github.com/google/pytype

• PackageCompiler.jl

  9 1,085 8.4 Julia

  Compile your Julia Package

  

  Julia is fairly fast, since its type system _only_ does dynamic/runtime typing, the JIT is optimized towards that. You'll experience some minor startup lag, typically due to initial JIT'ing of any new used functions. However, this has largely be remedied with a compiler backend that completely precomputes this behavior. https://julialang.github.io/PackageCompiler.jl/dev/

• SonarQube

  www.sonarqube.org

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