A general guide to what computational notebooks are, how to use one, what tools and things are available, and how they work in Noteable.
Documentation for the Noteable Service
Some course assessment work may be done through "Assignments" in Noteable.
This is what you, as a student, need to know.
Computational "Assignments" can be a good way to confirm a student's understanding of course-work, so we have created and curated some documentation to help Instructors / Tutors work with the assignment system used in Noteable
Frequently Asked Questions
The FAQ page has a collection of questions that often get asked.
We have descriptions of each of our Notebook Servers, which will give the users of Noteable an idea of what libraries and extensions are installed in each of them.
This is not a comprehensive list, however it does list the libraries and extensions we have specifically chosen to install.
Hover over the library name for a brief description of that library, and the version installed. Each library should also link to the documentation for that library.
Teaching Guides and Templates
Tutorial-style notebooks of libraries which could be useful for academics when writing worksheets and assignments.
Template-style notebooks which can be used as a basis when creating assignments for courses.
Quick guides for Markdown and Assignments.
These resources are for teachers to use with Noteable through GLOW. There are Python notebooks and R files, alongside explanatory PDFs, that cover topics in the Scottish curriculum for Computing Science and for Mathematics and Statistics. These resources were developed through the STEM grant from Education Scotland. To add these into Noteable using the Git repo cloning feature, please refer to the text in the Git repository for these resources linked above.
Links to exemplar notebooks that use different libraries pre-installed in Noteable, which can be used as templates or inspiration for your own pieces of code.
Exemplar notebooks and tutorials using python geospatial libraries pre-installed in the Geospatial Notebook.
Exemplar notebooks and tutorials using python libraries pre-installed in the Standard Notebook.
Exemplar notebooks and tutorials using R libraries for statistical analysis pre-installed in the R with Stan Notebook.
These resources provide explanations and lesson ideas for teachers to make use of in Noteable. These materials cover topics from the SQA curriculum in Computing Science, Mathematics, Statistics and other fields involving data analysis. The content in these notebooks aims to provide support and learning materials for teachers to adopt and use the Noteable service across school in Scotland and beyond, to deliver curriculum topics involving the analysis of numbers, data or other types of information and programming elements at Scottish Qualifications Authority National Levels 3, 4, 5, Higher and Advanced Higher.
A small selection of videos about Noteable, Jupyter Notebooks, or the nbgrader assignments system.
- An introduction to Noteable documentation - Guides, Exemplars and Teaching Documentation
- Example of uses for Jupyter Notebooks - Exploring Medical Data with Python
- Example of uses for Jupyter Notebooks - Folium notebook & visualisation of COVID-19 data
- A student guide to Noteable - fetching & submitting assignments
- User Insights - The Advantages of Noteable
- The accessibility statement for Noteable
- Cookies policy
- Data Retention
- The Noteable data retention policy
- Privacy notice
- The Noteable privacy statement
- Service Updates
- Record of significant changes to the Noteable service
- Usage Policy
- The service-usage policy for Noteable