From ae505228fde7602dd84224fa9e190a4a923b95ff Mon Sep 17 00:00:00 2001 From: Phillip Alday Date: Mon, 24 Nov 2025 16:45:37 -0700 Subject: [PATCH 1/2] introductory julia resources --- index.qmd | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/index.qmd b/index.qmd index d873047..cc8f077 100644 --- a/index.qmd +++ b/index.qmd @@ -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 From 59d8be931aa479bbf64fcffb99ab837a8549fa81 Mon Sep 17 00:00:00 2001 From: Phillip Alday Date: Wed, 17 Dec 2025 22:38:16 -0600 Subject: [PATCH 2/2] remove an extra space --- index.qmd | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/index.qmd b/index.qmd index cc8f077..081de12 100644 --- a/index.qmd +++ b/index.qmd @@ -30,7 +30,7 @@ git clone https://github.com/RePsychLing/SMLP2026 ## Julia Programming Language -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/) +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: @@ -46,11 +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