differences for PR #32

config.yaml

@@ -0,0 +1,87 @@
+#------------------------------------------------------------
+# Values for this lesson.
+#------------------------------------------------------------
+
+# Which carpentry is this (swc, dc, lc, or cp)?
+# swc: Software Carpentry
+# dc: Data Carpentry
+# lc: Library Carpentry
+# cp: Carpentries (to use for instructor training for instance)
+# incubator: The Carpentries Incubator
+carpentry: 'incubator'
+
+# Overall title for pages.
+title: 'Introduction to targets'
+
+# Date the lesson was created (YYYY-MM-DD, this is empty by default)
+created: ~
+
+# Comma-separated list of keywords for the lesson
+keywords: 'reproducibility, data, targets, R'
+
+# Life cycle stage of the lesson
+# possible values: pre-alpha, alpha, beta, stable
+life_cycle: 'pre-alpha'
+
+# License of the lesson
+license: 'CC-BY 4.0'
+
+# Link to the source repository for this lesson
+source: 'https://github.com/joelnitta/targets-workshop'
+
+# Default branch of your lesson
+branch: 'main'
+
+# Who to contact if there are any issues
+contact: '[email protected]'
+
+# Navigation ------------------------------------------------
+#
+# Use the following menu items to specify the order of
+# individual pages in each dropdown section. Leave blank to
+# include all pages in the folder.
+#
+# Example -------------
+#
+# episodes:
+# - introduction.md
+# - first-steps.md
+#
+# learners:
+# - setup.md
+#
+# instructors:
+# - instructor-notes.md
+#
+# profiles:
+# - one-learner.md
+# - another-learner.md
+
+# Order of episodes in your lesson
+episodes: 
+- introduction.Rmd
+- basic-targets.Rmd
+- cache.Rmd
+- lifecycle.Rmd
+- organization.Rmd
+- packages.Rmd
+- files.Rmd
+- branch.Rmd
+- parallel.Rmd
+- quarto.Rmd
+
+# Information for Learners
+learners: 
+
+# Information for Instructors
+instructors: 
+
+# Learner Profiles
+profiles: 
+
+# Customisation ---------------------------------------------
+#
+# This space below is where custom yaml items (e.g. pinning
+# sandpaper and varnish versions) should live
+
+

md5sum.txt

@@ -12,10 +12,10 @@
 "episodes/packages.Rmd" "2c0eb6138ea6685a0ee279c89b381bc4" "site/built/packages.md" "2024-07-10"
 "episodes/files.Rmd" "b7f4ef83379a58d5c30d8e011e3b2c0d" "site/built/files.md" "2024-07-10"
 "episodes/branch.Rmd" "6f1187d6df3310eb042aaae3a44328dc" "site/built/branch.md" "2024-07-10"
-"episodes/parallel.Rmd" "f9b7709ceae26b281ea5919835f5260b" "site/built/parallel.md" "2024-07-10"
+"episodes/parallel.Rmd" "3ec032e9a527138e70e2efb4e5a10410" "site/built/parallel.md" "2024-07-10"
 "episodes/quarto.Rmd" "b854a0a44fd0ec7e503c9e99d21f8fce" "site/built/quarto.md" "2024-07-10"
 "instructors/instructor-notes.md" "df3784ee5c0436a9e171071f7965d3fc" "site/built/instructor-notes.md" "2024-07-10"
 "learners/reference.md" "3f06251c1f932e767ae8f22db25eb5a2" "site/built/reference.md" "2024-07-10"
-"learners/setup.md" "b4bdd601ab985cf048829f49710df7fc" "site/built/setup.md" "2024-07-10"
+"learners/setup.md" "f70118c3c9db0824c172248927d7a1af" "site/built/setup.md" "2024-07-10"
 "profiles/learner-profiles.md" "44d8b9d8aca7963e6577e8c67d23eac0" "site/built/learner-profiles.md" "2024-07-10"
 "renv/profiles/lesson-requirements/renv.lock" "b771e019c59a11a94a4000b93ad77f9b" "site/built/renv.lock" "2024-07-10"

parallel.md

@@ -40,25 +40,6 @@ Most workflows that use branching can benefit from parallelism.
 Here, we assume you are running this analysis on a laptop and so will use a relatively simple backend.
 If you are interested in high-performance computing, [see the `targets` manual](https://books.ropensci.org/targets/hpc.html).
 
-### Install R packages for parallel computing
-
-For this demo, we will use the new [`crew` backend](https://wlandau.github.io/crew/).
-
-::::::::::::::::::::::::::::::::::::: {.prereq}
-
-### Install required packages
-
-You will need to install several packages to use the `crew` backend:
-
-
-``` r
-install.packages("nanonext", repos = "https://shikokuchuo.r-universe.dev")
-install.packages("mirai", repos = "https://shikokuchuo.r-universe.dev")
-install.packages("crew", type = "source")
-```
-
-:::::::::::::::::::::::::::::::::::::
-
 ### Set up workflow
 
 To enable parallel processing with `crew` you only need to load the `crew` package, then tell `targets` to use it using `tar_option_set`.