Julia

Developed by Jeff Bezanson, Alan Edelman, Stefan Karpinski, and Viral B. Shah, and released in 2012, Julia is a high-level programming language used in scientific computing. It can be utilized for statistics computations and data analysis, similar the R programming language. One of its strongest features is multiple dispatch — a type of polymorphism that allows functions to behave differently based on the data type of the arguments they receive.

Julia's other features

• Dynamic typing.
• Garbage collection.
• Performance on par with programs written in the C language.
• A built-in package manager.
• The ability to view the compiled assembly code of any function or operation, immediately after typing it.
• Tools for metaprogramming similar to Lisp macros.
• The native ability to call C functions.
• The ability to call Python functions with the PyCall package.
• The ability to control system processes with the same power as a command-line shell.
• Functions for parallel processing and distributed computing.
• The user may define custom data types that perform as fast as built-in types.
• A high level of extensibility, allowing the user to redefine many core aspects of the language.
• Unicode support.

"Hello, World!" in Julia

Below is an example of how you could write "Hello, World!" in the Julia programming language.

println("Hello, World!")

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