v1.1.2

Fix links from the visualise activity charts to the Datasette db.

v1.1.1

Minor fix for Zenodo metadata

v1.1.0

Add new notebook:

• Visualise activity – visualises the amount of activity each day of trading by looking at the proportion of stocks that have prices recorded against them.

Add new dataset info:

• Print and handwritten data extracted from the images using Amazon Textract have been saved in a series of CSV files available from Cloudstor. There's one file per year, and each row in the CSV represents a single column row. This data is in the process of being checked and cleaned, and is likely to change. The easiest way to explore this data is through the Datasette interface which provides fulltext and structured searching.

Admin stuff:

• Update all packages and test notebooks
• Lint and format notebooks using isort, Black, and Flake8
• Switch to using pip-tools
• Implement testing and linting processes
• Use quay.io for storing Docker images

v1.0.0

This is the first official release of the ANU Archives repository, following the GLAM Workbench's new versioning system. There are no major changes to notebooks, however, there have been a number of changes to the management, environment, and integration of this repository. This includes:

• GitHub actions to automatically generate Docker images on a push to master
• Automatic generation of an index.md file based on README.md to act as a front page within Jupyter Lab
• Manifest file to allow for one-click installation in Reclaim Cloud
• Documentation in README for running repository via Reclaim Cloud or Docker
• Metadata file for integration with Zenodo
• Updated all Python packages
• Switch from using Appmode to Voila for running notebooks as apps (this necessitated changes to notebooks that expected parameters)
• Add Jupyter config files to open md files in preview, and use Material theme in Voila