We offer experimental Jupyter notebooks for those users who prefer working with the data directly using our APIs and their Python skills.
There are four notebooks available, in which we included common functions and code prepared by our experts:
- An introduction to Jupyter Notebooks, to experiment with basic python coding
- To inspect metadata completeness (giving more possibilities than those offered by the Inspector tool)
- To inspect the availability of ASR data using different variables (program title, genre, etc.)
- A workspace notebook prepared for working with data fetched from the collections’ metadata and ASR based on bookmarks and annotations added by the users to their workspace.
In its first phase of the Jupyter Notebooks service (launched with Version 3 in July, 2018), the notebooks are offered in an authenticated environment.
Take me to the Media Suite’s Jupyter notebooks . Requires VPN connection to The Netherlands Institute for Sound and Vision and a user account.
Request access to the Media Suite’s Jupyter notebooks . You will need to fill in a form before access is granted.
Please use our contact details if you need more information.
Besides, we produce Collection notebooks to create overviews of the Media Suite’s collections composition. We use some of the visualizations produced with these notebooks to update our Collection pages in the Data registry CKAN . More complete documentation of the Collection notebooks can be found in the Github repository wiki .
See our publication about the Jupyter notebooks and the Media Suite .
(Last update: March 18, 2019) . If you have any questions, please contact us .