
Security News
vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
jupyter-docx-bundler
Advanced tools
Jupyter bundler extension to export notebook as a docx file
conda install -c conda-forge jupyter-docx-bundler
Make sure you have Pandoc installed, see installing-pandoc for instructions.
pip install jupyter-docx-bundler
The bundle extension uses metadata of the notebook, if you you provide it.
"title": "Notebook title"
"authors": [{"name": "author1"}, {"name": "author2"}]
"subtitle": "Notebook subtitle"
"date": "Notebook date"
The notebook metadata can be edited under Edit -> Edit Notebook Metadata.
You can hide individual code cells or just their inputs by defining cell tags:
nbconvert-remove-cell
: Remove the entire cellnbconvert-remove-input
: Remove the input code of the cell(Currently there are no default values configured for these tags, the ones listed above are defined in my code and not in nbconvert. This may will change in the future.)
Cell tags can be shown by activating the cell toolbar under View -> Cell Toolbar -> Tags.
It is also possible to hide all inputs. To achive this you need to add the following lines to your notebook metadata:
{
"jupyter-docx-bundler": {
"exclude_input": "True"
}
}
The notebook metadata can be edited under Edit -> Edit Notebook Metadata.
To use the bundler direct from console the nbconvert utility can be used with target format docx:
jupyter nbconvert --execute --to=docx <source notebook>.ipynb --output <target document>.docx
The --execute
option should be used to ensure that the notebook is run before generation.
See CONTRIBUTING
FAQs
Jupyter bundler extension to export notebook as a docx file
We found that jupyter-docx-bundler demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
Research
Security News
Socket researchers uncovered a malicious PyPI package exploiting Deezer’s API to enable coordinated music piracy through API abuse and C2 server control.
Research
The Socket Research Team discovered a malicious npm package, '@ton-wallet/create', stealing cryptocurrency wallet keys from developers and users in the TON ecosystem.