Julia

Julia is a high-performance, open-source programming language designed for scientific computing, numerical analysis, data science, machine learning, artificial intelligence, and technical computing. It provides the speed of compiled languages with the ease of use of dynamic programming languages.

The solution supports common development workflows including command-line programming, package management, numerical computation, matrix operations, scripting, data analysis, and integration with scientific libraries. It is ideal for developers, researchers, data scientists, engineers, and students working on high-performance computing tasks.

Version: Julia 1.12.6

Features of Julia:

• High-performance programming language for numerical and scientific computing.
• Interactive command-line REPL for testing and development.
• Built-in package manager for installing and managing Julia packages.
• Supports matrix operations, parallel computing, data analysis, and machine learning workflows.
• Open-source language with a large scientific computing ecosystem.
• Runs on Linux, Windows, and macOS platforms.

Usage instructions for Julia
$ sudo su
$ curl -fsSL https://install.julialang.org | sh -s -- -y
$ source ~/.bashrc
$ export PATH="$HOME/.juliaup/bin:$PATH"
$ julia --version
$ julia

Testing Julia:

julia> println("Julia is working on Ubuntu 26.04 Azure")
julia> VERSION
julia> sqrt(144)

To run a Julia script:

echo 'println("Hello from Julia")' > test.jl
julia test.jl

Access Julia:
Run the Julia command-line interface from the terminal using:
julia

Default port:
No default port is required because Julia is a CLI-based programming language.

Disclaimer: Julia is provided “as is” under applicable open-source licenses. Users are responsible for validating packages, securing their Azure environment, managing dependencies, and testing workloads before using the solution in production environments.