5/5/2023 0 Comments Jupyterlab vs jupyterhub![]() The main version of R used by the RStudio server copies its packages from the Myriad high performance computing platform, so any package available there should be available in rstudio too. This saves time and reduces the load on the server. Users can install R packages in their home directories, but we recommend that if you are planning on teaching a course, you make sure the packages you want to use are pre-installed on the system. We are unable to provide users with guidance on using RStudio or JupyterLab and suggest users consult the online documentation for these services in the first instance: Users who are using the China Connect service can access both Jupyter and RStudio directly without logging in to the VPN. Visit .ucl.ac.uk and log in with your UCL credentials. Students who are registered on those SITS modules will then be added automatically. ![]() To grant access to students, please pre-register the course by emailing the above address and provide the SITS code of the relevant module(s) and a pdf or link to the syllabus. Staff who would like to use the service to deliver teaching should email to request access (please include your UCL username). RStudioĪccess is blocked by default due to licencing restrictions. When off campus, you will need to connect to the UCL VPN first. The Data Science Platform and all of its components are only accessible from the UCL network. UCL Students and Staff are elligible to use both the JupyterLab and RStudio components of this service as part of a taught course. If your use starts to affect the experience of other users, we reserve the right to terminate sessions without notice.Īccess RStudio (VPN required) Elligibility Please note: The main aim of this service is to support teaching and the service should not be used for computationally intensive research. ipynb Quarto will not execute the cells within the notebook by default (the presumption being that you already executed them while editing the notebook).The data science platform supports teaching by providing users with access to interactive data science environments via the web browser.Ĭurrent components of this service include RStudio Server Pro and Jupyter Lab. See the documentation on Output Options for additional details. There are many output options available, including options to optionally hide code, warnings, and/or output. As with document front-matter, option names/values use YAML syntax. Note that options must appear at the very beginning of the cell. Here we specify the label and fig-cap options so that the plot generated from the cell can be cross-referenced. Quarto uses leading comments with a special prefix ( #|) to denote cell options. Any valid Pandoc markdown syntax can be included in markdown cells. Note that a Quarto cross-reference ( is included in the markdown. Here’s the underlying code for the markdown cell: See the documentation on Authoring and Output Formats for additional details. There are YAML options to control many other aspects of document rendering. In this example we specify that we want code to appear collapsed by default. ![]() Note that you can switch the type of a cell to Raw using the notebook toolbar: The first cell of your notebook should be a Raw cell that contains the document title, author, and any other options you need to specify. You can read more about installing the extension in the Quarto JupyterLab Extension documentation. For example, when the Quarto JupyterLab extension is installed, your Notebook will show rendered previews of elements like Callouts, Divs, Mermaid charts, as well as other Quarto elements (including the document front matter as a title block). The Quarto JuptyerLab extension enables JupyterLab Notebooks which use Quarto markdown to properly display the contents of the markdown cells. Note that the target file (in this case notebook.ipynb) should always be the very first command line argument.
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