Julia is a language that was specifically designed to be used for high-performance, numerical computing. Most importantly, it differs from the previous scripting languages that have been covered in this book (R and to a certain extent, Python) in that Julia is a full language and not limited to data handling.
In this chapter, we will cover the following topics:
- Adding Julia scripting to your installation
- Basic Julia in Jupyter
- Julia limitations in Jupyter
- Standard Julia capabilities
- Julia visualizations in Jupyter
- Julia Vega plotting
- Julia parallel processing
- Julia control flow
- Julia regular expressions
- Julia unit testing
