Apply patch removing Shef specific content from fork

Author: Robadob

README.md

@@ -15,32 +15,3 @@ See [Contributing](CONTRIBUTING.md)
 ## Acknowledgements
 
 The initial development of this course was funded by the University of Sheffield, to support training initiatives for users of their [Stanage HPC cluster](https://docs.hpc.shef.ac.uk/en/latest/stanage/index.html).
-
-## Building the Site Locally
-
-If you are making complex changes, and wish to build the site locally the below instructions can be followed.
-
-
-### Setup
-
-Both of these steps should be followed within `rterm`.
-
-```r
-# Setup mirrors
-options(repos = c(
-  carpentries = "https://carpentries.r-universe.dev/", 
-  CRAN = "https://cran.rstudio.com/"
-))
-# Setup install from github
-install.packages("devtools")
-library(devtools)
-# Install Uni of Shef Varnish theme
-install_github("RSE-Sheffield/uos-varnish")
-# Install remaining official carpentries packages
-install.packages(c("sandpaper", "tinkr", "pegboard"))
-```
-## Development Server
-
-```r
-sandpaper::serve()
-```

config.yaml

@@ -76,7 +76,7 @@ episodes:
 # Information for Learners
 learners: 
 - setup.md
-- registration.md
+# - registration.md # University of Sheffield specific registration procedure
 - technical-appendix.md
 - acknowledgements.md
 - ppp.md
@@ -93,8 +93,9 @@ profiles:
 # This space below is where custom yaml items (e.g. pinning
 # sandpaper and varnish versions) should live
 
-varnish: RSE-Sheffield/uos-varnish@main
-url: 'https://rse.shef.ac.uk/pando-python'
+# These config items are used to deploy the University of Sheffield varnish theme
+#varnish: RSE-Sheffield/uos-varnish@main
+#url: 'https://rse.shef.ac.uk/pando-python'
 
 analytics: |
-  <script defer src="https://cloud.umami.is/script.js" data-website-id="95b3ca57-3bd9-47b0-b1ca-fe819ef65c80"></script>
+  <script defer src="https://cloud.umami.is/script.js" data-website-id="2b561bd0-0d7a-436b-a18d-d19c94785362"></script>

episodes/optimisation-conclusion.md

@@ -24,7 +24,7 @@ An overview of how Python operates and the most important practices for achievin
 Hopefully with the information from this course you will be in a better position to investigate and optimise the performance of your own code.
 
 This course's website can be used as a reference manual when profiling your own code.
-
+<!--
 ::::::::::::::::::::::::::::::::::::: callout
 
 ## Your Feedback is Required!
@@ -34,6 +34,7 @@ Please complete [this Google form](https://forms.gle/C82uWBEou3FMrQs99) to let u
 Your feedback enables us to improve the course for future attendees!
 
 :::::::::::::::::::::::::::::::::::::::::::::
+-->
 
 ::::::::::::::::::::::::::::::::::::: keypoints
 

index.md

@@ -17,7 +17,6 @@ If you are now comfortable using Python, this course may be of interest to suppl
 
 This is an all-day course, however it normally finishes by early afternoon.
 
-If you would like to register to take the course, check the [registration information](learners/registration.md).
 <!-- TODO: course duration? -->
 <!-- TODO: confident code syllabus? -->
 
@@ -47,7 +46,8 @@ Before joining Performance Profiling & Optimisation (Python) Training, participa
 - implement basic algorithms in Python.
 - follow the control flow of Python code, and dry run the execution in their head or on paper.
 
-See the [Research Computing Training Hub](https://sites.google.com/sheffield.ac.uk/research-training/research-training) for other courses to help with learning these skills.
+See Software Carpentry's [Python novice course](https://swcarpentry.github.io/python-novice-inflammation/) for help with learning these skills.
+
 <!-- TODO: could make a dedicated page (like https://carpentries.github.io/lesson-development-training/markdown-github-primer.html) that highlights specific courses/resources. -->
 
 ::::::::::::::::::::::::::::::::::::::::::::::::::