Data Visualization with Julia
With the Julia programming language you can make impressive data visualizations without a great deal of programming knowledge
A while ago I wrote an article about using a product called Juliabox. This was an online programming environment for the Julia language based on Jupyter Notebooks and my aim was to demonstrate how easy it was to create data visualizations in Julia.
Sad to say, Juliabox no longer exists.
So I wrote three more articles based on the same material that used three different Julia programming environments: VSCode, Jupyter Notebooks and Juno.
I’ve grouped them together here, for convenience (at least I hope it is).
Which is the better environment for developing Julia? It depends on youe preference. I like VSCode as an editor but am also used to Jupyter Notebooks, so one of those would probably be my choice. And while, Juno used to be the preferred editor for Julia people, development on this seems to have stopped in favor if the Julia extension for VSCode.
Anyway, here are the three articles. As I said basically the same material, so no need to read them all!
VSCode
Data Visualization with Julia and VSCode
With Julia and the free VSCode IDE, you can make impressive data visualizations with little programming knowledge.towardsdatascience.com
Jupyter Notebooks
Starting Data Visualization with the Julia Language and Jupyter Notebooks
With Julia and Jupyter you can make impressive data visualizations with almost no programming knowledge.towardsdatascience.com
Juno
Data Visualization with Julia and Juno
With Julia and the free Juno IDE, you can make impressive data visualizations with little programming knowledge.towardsdatascience.com