[IPython-dev] Distributing evaluated notebooks that require big-ish data
nathan12343 at gmail.com
Mon May 19 03:16:00 EDT 2014
For the yt documentation  we do this using a jenkins buildbot and a
sphinx extension that I wrote called RunNotebook . To follow this route
you'll need to host your own docs builds on your project's website and also
have a server that can dynamically generate the docs builds. If you don't
need to build the docs with each commit to your codebase, you could also
generate the docs manually as part of your release process.
A nice bonus to incorporating notebooks into your docs in this fashion is
that the notebooks serve as a form of testing: broken code in the docs
leads to broken results embedded in the docs build.
 http://yt-project.org/doc, see e.g. the yt bootcamp at
On Fri, May 16, 2014 at 12:24 PM, Antonino Ingargiola <tritemio at gmail.com>wrote:
> I'm working on a software for single-molecule FRET analysis
> (FRETBursts) that heavily relies on ipython notebook to run the analysis.
> I provide some evaluated notebooks serving as tutorials in a separate
> repository (FRETBursts_notebooks). The reference documentation (mostly
> installation instructions and API) is hosted on ReadTheDocs .
> I have concerns on the viability of this approach since the notebooks
> repository can easily grow to hundreds of MB given the high number of
> images. Maintaining a second repository it is also and additional burden.
> Ideally I would like to generate the notebooks dynamically from
> unevaluated notebooks in the original source repository. However the data
> necessary to reproduce the analysis is ~150MB (hosted on figshare ),
> and I may add more datasets in the future.
> So I'm asking for suggestions.
> I like the simple concept of a notebook repository with links to nbviewer,
> but seems that the solution is not scalable.
> I don't think RTD can handle downloading and data processing that
> requires several minutes to execute on modern desktops.
> So, what's left? Anybody has a similar issue?
>  FRETBursts: https://github.com/tritemio/FRETBursts
>  FRETBursts_notebooks: https://github.com/tritemio/FRETBursts_notebooks
>  FRETBursts documentation: http://fretbursts.readthedocs.org/index.html
>  FRETBursts datatsets: http://dx.doi.org/10.6084/m9.figshare.1019906
> IPython-dev mailing list
> IPython-dev at scipy.org
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