Julia
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Julia has been downloaded over 45 million times and the Julia community has registered over 10,000 Julia packages for community use. These include various mathematical libraries, data manipulation tools, and packages for general purpose computing.
Almost everyone should be downloading and using the latest stable release of Julia. Great care is taken not to break compatibility with older Julia versions, so older code should continue to work with the latest stable Julia release.
Julia has built-in support for calling C or Fortran language libraries using the @ccall macro. Additional libraries allow users to work with Python, R, C++, Java, and SQL. Separately-compiled executables option. Julia can be compiled to binary executables with PackageCompiler.jl.
It is multi-paradigm, combining features of imperative, functional, and object-oriented programming. Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming.
Pluto.jl is a Julia programming environment designed for learning and teaching, and it is a great way to get started with Julia programming, packages and visualisation. Pluto.jl is easy to install, and you can write interactive documents with no prior experience.
Julia: Created by Daniel Goldfarb. With Sarah Lancashire, David Hyde Pierce, Bebe Neuwirth, Fran Kranz. Inspired by Julia Child's extraordinary life and her show The French Chef, which essentially invented food television.
The easiest way to learn and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line:
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