Julia is a high-level, high-performance programming language designed for numerical and scientific computing. It is known for its speed and ease of use, combining the simplicity of languages like Python with the performance of C and Fortran. Julia is widely adopted in fields like data science, machine learning, scientific research, and engineering for tasks that require intensive computation.

Features of Julia:

• High-performance language designed for numerical and scientific computing.
• Easy-to-learn syntax similar to MATLAB and Python.
• Multiple dispatch for efficient and flexible function definitions.
• Interoperates seamlessly with C, Python, R, and other languages.
• Rich ecosystem of packages for data analysis, machine learning, optimization, and more.
• Supports parallel and distributed computing for large-scale computations.
• Open-source and actively maintained by a global community of contributors.
• Cross-platform support for Linux, macOS, and Windows.

To check the Julia version, run this command :
$ julia --version

Disclaimer: Julia is an open-source programming language maintained by the Julia Computing and its contributors. It is provided "as is," without any warranty, express or implied. Users are encouraged to review licensing terms and comply with applicable regulations when deploying Julia in production environments. Julia Computing and contributors are not responsible for any damages, losses, or consequences resulting from its use.