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palday merged 3 commits into from
Dec 18, 2025
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introductory julia resources #3

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introductory julia resources
palday Nov 24, 2025
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Merge branch 'main' of github.com:RePsychLing/SMLP2026 into pa/rusers
palday Dec 18, 2025
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palday Dec 18, 2025
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15 changes: 11 additions & 4 deletions index.qmd
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Expand Up @@ -30,7 +30,14 @@ git clone https://github.com/RePsychLing/SMLP2026

## Julia Programming Language

We will use Julia v1.11.6. We recommend using [Juliaup](https://github.com/JuliaLang/juliaup) to install and manage Julia versions. Juliaup makes it trivial to upgrade to new Julia releases or even use old ones. Alternatively, you can download the version appropriate for your setup from here: [Julia Programming Language](https://julialang.org/downloads/)
We will use the latest stable release of Julia. We recommend using [Juliaup](https://github.com/JuliaLang/juliaup) to install and manage Julia versions. Juliaup makes it trivial to upgrade to new Julia releases or even use old ones. Alternatively, you can download the version appropriate for your setup from here: [Julia Programming Language](https://julialang.org/downloads/)

There are resources available online for new Julia users and several specialize in Julia for R users:

- [Using Julia as a R user](https://stateofther.github.io/finistR2024/plotting_with_julia-1.html)
- [Julia: Noteworthy differences from R](https://docs.julialang.org/en/v1/manual/noteworthy-differences/#Noteworthy-differences-from-R)
- [PumasAI: Introduction to Julia](https://tutorials.pumas.ai/html/LearningPaths/01-LP/01-Module/mod1-julia_intro.html)
- [PumasAI: Data Wrangling and Visualization in Julia](https://tutorials.pumas.ai/html/LearningPaths/01-LP/02-Module/mod2-data-wrangling-visualization.html)

## Quarto

Expand All @@ -39,11 +46,11 @@ The web site and other documents for this course are rendered using a `knitr`-li
## Integrated Development Environment (IDE)

An integrated development environment (IDE) makes editing and running Julia and Quarto source files easier.
The "integrated development" portion is a clue to what makes them different than a text editor (even a text editor with syntax highlighting): they have tools for suggesting code completion, interacting with and running code and much more.
Popular ones for R and Python include RStudio and Spyder. For Julia, we recommend [VS Code](https://code.visualstudio.com/download) or [Positron](https://github.com/posit-dev/positron/wiki#installing-positron).
The "integrated development" portion is a clue to what makes them different than a text editor (even a text editor with syntax highlighting): they have tools for suggesting code completion, interacting with and running code and much more.
Popular ones for R and Python include RStudio and Spyder. For Julia, we recommend [VS Code](https://code.visualstudio.com/download) or [Positron](https://github.com/posit-dev/positron/wiki#installing-positron).
VS Code is widely used in the Julia community, while Positron is a new fork of VS Code aimed at data scientists and developed by the Posit, the folks behind RStudio and Quarto.

Whatever IDE you use, make sure to install the necessary extensions for Quarto and Julia.
Whatever IDE you use, make sure to install the necessary extensions for Quarto and Julia.

# Summary

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