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Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose...

OCaml is a general-purpose, industrial-strength programming language with an emphasis on expressiveness and safety. OCaml’s powerful type system means more bugs are caught at compile-time, and large, complex codebases are easier to maintain. This makes it a good language for running critical code. At the same time, sophisticated inference makes the type system unobtrusive, creating a smooth developer experience. OCaml has two compilers. One is a bytecode compiler that generates small, portable executables and is very fast. The other is a native code compiler that produces more efficient machine code; its performance matches the highest standards of modern compilers. ...

...Dy runs on the top of its own high performance virtual machine. It compiles fast and can be used as an embeddable language or as a scripting language of your choice. It is also a good language to learn programming. Dyalect offers modern syntax, inspired by such languages as C#, Swift, Go and Rust, first class functions, coroutines, expressive modules, a dynamic type system with an ability to extend existing types with new functions and much more. Dy is shipped with a crossplatform interactive console. Main repo: https://github.com/vorov2/dyalect