opencultureconsulting
/
openrefine-client
mirror of https://github.com/opencultureconsulting/openrefine-client.git
2
0
Fork 0
Code Issues Releases Activity

update links to openrefineder notebooks

This commit is contained in:
Felix Lohmeier 2021-01-25 12:26:33 +01:00
parent 65b0500d5e
commit 0df6050deb
1 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@ -248,7 +248,7 @@ openrefine-client --create combined.zip --format csv --projectName myproject --i
### See also ### See also
- Linux Bash script to run OpenRefine in batch mode (import, transform, export): [openrefine-batch](https://github.com/opencultureconsulting/openrefine-batch) - Linux Bash script to run OpenRefine in batch mode (import, transform, export): [openrefine-batch](https://github.com/opencultureconsulting/openrefine-batch)
- [Jupyter notebook demonstrating usage in Linux Bash](https://nbviewer.jupyter.org/github/felixlohmeier/openrefineder/blob/master/openrefine-client-bash.ipynb) - [Jupyter notebook demonstrating usage in Linux Bash](https://nbviewer.jupyter.org/github/felixlohmeier/openrefineder/blob/master/notebooks/openrefine-client-bash.ipynb)
- Use case [HOS-MetadataTransformations](https://github.com/subhh/HOS-MetadataTransformations): Automated workflow for harvesting, transforming and indexing of metadata using metha, OpenRefine and Solr. Part of the Hamburg Open Science "Schaufenster" software stack. - Use case [HOS-MetadataTransformations](https://github.com/subhh/HOS-MetadataTransformations): Automated workflow for harvesting, transforming and indexing of metadata using metha, OpenRefine and Solr. Part of the Hamburg Open Science "Schaufenster" software stack.
- Use case [Data processing of ILS data to facilitate a new discovery layer for the German Literature Archive (DLA)](https://doi.org/10.5281/zenodo.2678113): Custom data processing pipeline based on Pandas (a Python library) and OpenRefine. - Use case [Data processing of ILS data to facilitate a new discovery layer for the German Literature Archive (DLA)](https://doi.org/10.5281/zenodo.2678113): Custom data processing pipeline based on Pandas (a Python library) and OpenRefine.
@ -624,8 +624,8 @@ See also:
- free to use on-demand server with Jupyter notebook, OpenRefine and Bash - free to use on-demand server with Jupyter notebook, OpenRefine and Bash
- no registration needed, will start within a few minutes - no registration needed, will start within a few minutes
- [restricted](https://mybinder.readthedocs.io/en/latest/faq.html#how-much-memory-am-i-given-when-using-binder) to 2 GB RAM and server will be deleted after 10 minutes of inactivity - [restricted](https://mybinder.readthedocs.io/en/latest/faq.html#how-much-memory-am-i-given-when-using-binder) to 2 GB RAM and server will be deleted after 10 minutes of inactivity
- [bash_kernel demo notebook](https://nbviewer.jupyter.org/github/felixlohmeier/openrefineder/blob/master/openrefine-client-bash.ipynb) for using the openrefine-client in a Linux Bash environment [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/felixlohmeier/openrefineder/master?urlpath=/tree/openrefine-client-bash.ipynb) - [bash_kernel demo notebook](https://nbviewer.jupyter.org/github/felixlohmeier/openrefineder/blob/master/notebooks/openrefine-client-bash.ipynb) for using the openrefine-client in a Linux Bash environment [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/felixlohmeier/openrefineder/master?urlpath=/tree/notebooks/openrefine-client-bash.ipynb)
- [python2 demo notebook](https://nbviewer.jupyter.org/github/felixlohmeier/openrefineder/blob/master/openrefine-client-python.ipynb) for using the openrefine-client in a Python 2 environment [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/felixlohmeier/openrefineder/master?urlpath=/tree/openrefine-client-python.ipynb) - [python2 demo notebook](https://nbviewer.jupyter.org/github/felixlohmeier/openrefineder/blob/master/notebooks/openrefine-client-python.ipynb) for using the openrefine-client in a Python 2 environment [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/felixlohmeier/openrefineder/master?urlpath=/tree/notebooks/openrefine-client-python.ipynb)
## Development ## Development
@ -752,7 +752,7 @@ Note to myself: When releasing a new version...
8. Bump openrefine-client version in related projects 8. Bump openrefine-client version in related projects
- openrefine-batch: [openrefine-batch.sh](https://github.com/opencultureconsulting/openrefine-batch/blob/master/openrefine-batch.sh#L7) and [openrefine-batch-docker.sh](https://github.com/opencultureconsulting/openrefine-batch/blob/master/openrefine-batch-docker.sh) - openrefine-batch: [openrefine-batch.sh](https://github.com/opencultureconsulting/openrefine-batch/blob/master/openrefine-batch.sh#L7) and [openrefine-batch-docker.sh](https://github.com/opencultureconsulting/openrefine-batch/blob/master/openrefine-batch-docker.sh)
- openrefineder: [postBuild](https://github.com/felixlohmeier/openrefineder/blob/master/postBuild) - openrefineder: [postBuild](https://github.com/felixlohmeier/openrefineder/blob/master/binder/postBuild)
## Credits ## Credits