https://github.com/natlibfi/digitalia-notebook

https://github.com/natlibfi/digitalia-notebook

Last synced: over 1 year ago
JSON representation

• Host: GitHub
• URL: https://github.com/natlibfi/digitalia-notebook
• Owner: NatLibFi
• License: apache-2.0
• Created: 2019-04-24T13:00:33.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2024-02-20T09:23:42.000Z (over 2 years ago)
• Last Synced: 2025-01-21T14:46:26.076Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 776 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
![sosiaali_fi_small3.png](https://github.com/NatLibFi/digitalia-notebook/blob/master/sosiaali_fi_small3.png?raw=true)![fi_EU_rgb_small2.png](https://github.com/NatLibFi/digitalia-notebook/blob/master/fi_EU_rgb_small2.png?raw=true)

# Digitalia_notebook

## National Library of Finland

ALTO XML read and process demo.

Updated version of notebook is available from digidata_using_api.en.ipynb, digidata_using_api.fi.ipynb and digidata_using_api.ipynb files.

Updates to the notebook enable data download using API and contains also other improvements.

Updates to the notebook were implemented during Digital Open Memory-project.

Clippings text mining examples.

The Latest updated version of clippings download using notebook is available from digidata_clippings_using_api.en.ipynb and digidata_clippings_using_api.fi.ipynb files.

Updates to the notebook enable clippings download using API and contain also other clippings related changes.

## Acknowledgments / Kiitokset



    



    



## Prerequirements

* python   

* jupyter-notebook

* nbTranslate  (optional, only couple of first items have translations)

## Local usage

```jupyter notebook``` command in the directory where this git repository has been downloaded.

Generating other formats

``` jupyter nbconvert --to html --template full digidata_mk.ipynb ```

###  Experimental

different language versions of the notebook:

``` jupyter nbconvert --to notebook --NotebookLangExporter.language=en digidata_mk.ipynb ```