add new quarto check output, julia guidance (#1403)

Author: cscheid

docs/troubleshooting/index.qmd

@@ -13,16 +13,18 @@ but this page might help you get up and running quickly.
 You can check the version of Quarto and its dependencies by running `quarto check`. Here's an example of the output it generates:
 
 ```
-Quarto 1.5.42
+Quarto 1.6.30
+[✓] Checking environment information...
+      Quarto cache location: /Users/cscheid/Library/Caches/quarto
 [✓] Checking versions of quarto binary dependencies...
-      Pandoc version 3.2.0: OK
+      Pandoc version 3.4.0: OK
       Dart Sass version 1.70.0: OK
-      Deno version 1.41.0: OK
+      Deno version 1.46.3: OK
       Typst version 0.11.0: OK
 [✓] Checking versions of quarto dependencies......OK
 [✓] Checking Quarto installation......OK
-      Version: 1.5.42
-      Path: /Applications/quarto/bin
+      Version: 1.6.30
+      Path: /Users/cscheid/repos/github/cscheid/quarto-regress/releases/v1.6.30/binQuarto 1.5.42
 
 [✓] Checking tools....................OK
       TinyTeX: v2024.03.13
@@ -154,7 +156,7 @@ issues with rendering to PDF, make sure you have an up-to-date installation of `
 
 One common source of tricky problems is the presence of multiple installations of R and Python in a system. Quarto will attempt to find an R or Python installation, and sometimes your shell environment is pointing to a different one.
 
-### knitr
+### `knitr`
 
 If you suspect that quarto is finding the wrong version of an R installation, you can obtain information about the R installation that Quarto sees by running the following .qmd file:
 
@@ -182,6 +184,11 @@ can ask for a difference between the outputs more directly:
 sessioninfo:::session_diff(new = "quarto-session-info-output.txt")
 ```
 
+### `julia`
+
+One potential source of trouble in Julia execution and installationwith both the `jupyter` and `julia` engines are stale library versions in caches.
+In those situations, consider removing the contents of the directory described under `Quarto cache location` in `quarto check`.
+
 ## Advanced
 
 ### Debugging Jupyter engine issues