On Fri, Oct 18, 2013 at 11:56 AM, Benjamin Root <ben.r...@ou.edu> wrote:
> FWIW, I think my "Anatomy of Matplotlib" tutorial I gave at SciPy 2013 > struck a balance between pyplot and the OO interface. Grat, I'll take a look. Does the ipynb linked from the tutorial site have most of the presentation material? As it turns out, I need to give an intro to matplotlib class this week -- I've been looking for some good materials to use -- why re-invent the wheel? I'll be sure to give you any feedback I have. Hmmm.. this may be a time to put together a project of materials designed to teach matplotlib in a classroom setting -- a little different than a tutorial designed to be done on one's own. There is a bunch of stuff scattered among scipy tutorials, bootcamp lectures, etc, but having a central place to develop materials would be nice. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov ------------------------------------------------------------------------------ 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=60135031&iu=/4140/ostg.clktrk _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
