Posts tagged documentation
- 22 January 2020
Publishing computational narratives has always been a dream of the Jupyter Project, and there is still a lot of work to be done in improving these use-cases. We’ve made a lot of progress in providing open infrastructure for reproducible science with JupyterHub and the Binder Project, but what about the documents themselves? We’ve recently been working on tools like Jupyter Book, which aim to improve the writing and publishing process with the Jupyter ecosystem. This is hopefully the first post of a few that ask how we can best-improve the state of publishing with Jupyter.
Many of the ideas in this post have now made their way into a new flavor of markdown called Markedly Structured Text, or MyST. It brings all of the features of rST into Markdown. Check it out!
- 11 November 2019
For several months now, the universal document converter pandoc has
had support for Jupyter Notebooks. This means that with a single call,
you can convert
.ipynb files to any of the output formats that Pandoc
supports (and vice-versa!). This post is a quick exploration of what this
Note that for this post, we’re using Pandoc version 2.7.3. Also, some of what’s below is hard to interpret without actually opening the files that are created by Pandoc. For the sake of this blog post, I’m going to stick with the raw text output here, though you can expand the outputs if you wish, I recommend copy/pasting some of these commands on your own if you’d like to try.