This is an introduction into Julia for datascience.

It assumes you are somewhat familiar with Python, and it compares typical Python approaches with Julia.

To setup the notebook:

• Download and install Julia
• Open your Julia REPL, which can be done in VScode after you installed the Julia plugin, or in a bash terminal.
• In the REPL, go to package mode by typing ]. You will see the mode change color and it says pkg> instead of julia>.
• instantiate the environments by typing instantiate , which will install all dependencies and precompile everything.
• In packagemode, install Pluto by typing add Pluto. This will add Pluto to your environment.
• After Pluto is installed, leave pkg mode by typing backspace.
• Back in julia mode, type:

julia> using Pluto
julia> Pluto.run()

• This will start the Pluto interface in your browser. There are some sample notebooks included. If you like to have an introduction in Pluto notebooks, watch this
• In Pluto, open the first notebook 01_dataframes.jl .

There are four notebooks. They cover: data loading, preprocessing, visualisation and creating a very basic model. It's not complete, but it is a nice intro-by-doing, and it should give you a starting point to dive deeper.