From: Phil E. <pel...@gm...> - 2013-09-25 12:58:42
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For the record, I've spoken to Mark about this face-to-face in the past, and I think he has some great ideas about how the user guide should look. Personally I would agree that the user guide is currently not targeted enough (it takes 3 pages full of text before getting to a simple plt.plot() ) and even then, I don't think it is sympathetic enough to really new users. Clearly matplotlib's success shows that the documentation must be doing something right, but I think the user guide could definitely be improved. Mark, from what I remember your changes were along the lines of moving sections around, and splitting some sections into beginner & advanced pages. I think detailing a few examples of the types of changes you have in mind might help us to have a bit more clarity on what you are proposing. Thanks for getting involved in improving the docs! On 25 September 2013 09:19, mark <ma...@me...> wrote: > hi matplotlib developers > > I have been considering the matplotlib user guide structure and it > has occured to me that there are two user guides interleaved here: > 1. Introduction for new users > 2. Library tour for developers > > I think that this structure makes it challenging for new users to > benefit from the user guide as much as they could. > > I would like to see the user guide separated into two sections, with > the two different audiences in mind. I feel this would enable new > users of the library to have a more targeted introduction to some of > the neat features without getting bogged down in details they are > unlikely to need (or comprehend). > > I am very happy to have a go at this and put up a set of suggested > changes but I would value input from the community on this approach and > my category suggestions before I submit a pull request. > > many thanks > mark > > > > ------------------------------------------------------------------------------ > October Webinars: Code for Performance > Free Intel webinars can help you accelerate application performance. > Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most > from > the latest Intel processors and coprocessors. See abstracts and register > > http://pubads.g.doubleclick.net/gampad/clk?id=60133471&iu=/4140/ostg.clktrk > _______________________________________________ > Matplotlib-devel mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > |