diff --git a/README.md b/README.md index ce3be6e..1e63eb1 100644 --- a/README.md +++ b/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() -``` diff --git a/config.yaml b/config.yaml index 117da0c..475cc58 100644 --- a/config.yaml +++ b/config.yaml @@ -75,7 +75,7 @@ episodes: # Information for Learners learners: - setup.md -- registration.md +# - registration.md # University of Sheffield specific registration procedure - acknowledgements.md - ppp.md - reference.md @@ -91,5 +91,6 @@ 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' diff --git a/episodes/optimisation-conclusion.md b/episodes/optimisation-conclusion.md index d9ed9f4..0531fc7 100644 --- a/episodes/optimisation-conclusion.md +++ b/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. - + ::::::::::::::::::::::::::::::::::::: keypoints diff --git a/index.md b/index.md index af9940b..885c30c 100644 --- a/index.md +++ b/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). @@ -47,7 +46,7 @@ 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. + ::::::::::::::::::::::::::::::::::::::::::::::::::