Notebooks offered in Noteable
Below is a list of notebooks available in Noteable, each customized with pre-installed libraries tailored to specific academic disciplines.
EDINA works closely with academics to ensure this list remains up-to-date with the most relevant tools.
Subscribers can view the complete library selection for each notebook, and new notebooks can be created upon request to meet specific needs.
For more information on the available libraries and packages, please Contact Us.
Standard Python 3
The Standard Python 3 provides a versatile environment for Python development, featuring the JupyterLab interface and a broad selection of essential Python libraries.
It supports real-time collaboration, allowing multiple users to share and edit notebooks simultaneously.
The integration of nbgrader enables instructors to easily create and auto-grade Python-based assessments, while the nbgitpuller extension streamlines the cloning of Git repositories.
Language and Machine Learning notebook
The Language and Machine Learning notebook provides access to the JupyterLab interface and includes a wide selection of libraries that focus on Natural Language Processing and Machine Learning such as nltk and the nltk data collection, pytorch and tensorflow.
It includes nbgrader for efficient creation and grading of Python-based assignments.
The JupyterLab-git extension facilitates easy cloning of Git repositories, enhancing the workflow for projects in these fields.
GeoScience notebook
Designed for geospatial analysis and visualisation, the GeoScience Notebook uses the JupyterLab interface and includes libraries like Cartopy, EarthPy, and Folium.
It supports collaborative work, allowing users to share notebooks in real-time and organize documents side by side.
The notebook also integrates nbgrader for seamless assessment of Python-based tasks and includes the nbgitpuller extension for efficient repository management.
BioChemistry notebook
The BioChemistry Notebook is equipped with JupyterLab and a selection of libraries focused on data science and visualisation for chemistry and Biology, such as PubChemPy, msprime, and tsinfer.
It features nbgrader for easy creation and auto-grading of Python-based assignments.
The nbgitpuller extension is also included, allowing for smooth integration of Git repositories into the notebook.
RStudio
The RStudio Notebook provides a user-friendly interface and a comprehensive selection of R libraries, including those for geospatial analysis and data visualisation.
It includes the base R datasets as well as specialized libraries such as ggraph, foreign, and tidybayes.
R with Stan
The R with Stan Notebook, accessible through the JupyterLab interface, allows for coding in both R and Python and includes additional Stan packages.
It is designed to provide flexibility in statistical modelling and analysis.
This notebook also supports Python-based assessment grading via nbgrader and includes the nbgitpuller extension for straightforward Git repository management.
Sage notebook
The SageMath Notebook is available through JupyterLab and supports coding in both Python and SageMath, with a wide selection of libraries pre-installed.
It includes nbgrader for creating and grading Python-based assessments.
The nbgitpuller extension simplifies the process of cloning Git repositories for streamlined project collaboration.
Web Development
The Web Development notebook has been co-designed with Education Scotland and provides an environment for web development using HTML, CSS, and JavaScript, all within the JupyterLab interface.
Legacy Notebooks
Jupyter Classic (Legacy)
Some users may wish to use the classic Notebook 6 interface. A limited number of the previous Jupyter classic environments have been maintained under a "Legacy" name.