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