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A few slides have been added to clarify the definition of
reproducibility and also to show how a paper using Gnuastro needs far
fewer dependencies.
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After the previous experience of presenting the slides in Ghent, they
are reordered to be more clear and cause less confusion. In
particular, until this commit, I was describing the software build
steps in the end, so the audience mainly forgot about the analysis
steps and thought this template is just something like Docker or a
virtual machine.
With this commit, the steps are described in the same step that occur:
first how the software are built, then how the input data are
downloaded and finally how the software are run on the data and the
values are written into the paper.
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For the introduction I am now using quotes from published papers.
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A graph was added showing how Git branching and history are used to
verfiy the integrity of the result.
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The slides were significantly upgraded to help in making a better
introduction and clearly demonstrating things for the users.
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It was a long time since the last work on these slides. So the recent
changes (and in particular the installation of software) are now
described and my affiliation is also corrected).
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The first version of these slides was presented in a talk I gave at
CRAL on the 9th of February (placed at the end of slides on the
science topic I was talking about). Later, I separated them into an
independent set of slides to help facilitate the discussions I was
having and also to upload on my webpage.
As the concept is evolving, I found my self having to make changes to
the slides, so to keep track of the slides and history of the changes,
I thought of making this repository.
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