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Introducing the Socket Python SDK
The initial version of the Socket Python SDK is now on PyPI, enabling developers to more easily interact with the Socket REST API in Python projects.
Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`).
The nbconvert tool, jupyter nbconvert
, converts notebooks to various other
formats via Jinja templates. The nbconvert tool allows you to convert an
.ipynb
notebook file into various static formats including:
From the command line, use nbconvert to convert a Jupyter notebook (input) to a a different format (output). The basic command structure is:
$ jupyter nbconvert --to <output format> <input notebook>
where <output format>
is the desired output format and <input notebook>
is the
filename of the Jupyter notebook.
Convert Jupyter notebook file, mynotebook.ipynb
, to HTML using:
$ jupyter nbconvert --to html mynotebook.ipynb
This command creates an HTML output file named mynotebook.html
.
Check if pandoc is installed (pandoc --version
); if needed, install:
sudo apt-get install pandoc
Or
brew install pandoc
Install nbconvert for development using:
git clone https://github.com/jupyter/nbconvert.git
cd nbconvert
pip install -e .
Running the tests after a dev install above:
pip install nbconvert[test]
py.test --pyargs nbconvert
The Jupyter Development Team is the set of all contributors to the Jupyter project. This includes all of the Jupyter subprojects.
The core team that coordinates development on GitHub can be found here: https://github.com/jupyter/.
Jupyter uses a shared copyright model. Each contributor maintains copyright over their contributions to Jupyter. But, it is important to note that these contributions are typically only changes to the repositories. Thus, the Jupyter source code, in its entirety is not the copyright of any single person or institution. Instead, it is the collective copyright of the entire Jupyter Development Team. If individual contributors want to maintain a record of what changes/contributions they have specific copyright on, they should indicate their copyright in the commit message of the change, when they commit the change to one of the Jupyter repositories.
With this in mind, the following banner should be used in any source code file to indicate the copyright and license terms:
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
FAQs
Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`).
We found that nbconvert demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 14 open source maintainers 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.
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