Ryan May
@dopplershift commented on [Mon Sep 12 2016](https://github.com/Unidata/MetPy/issues/221) It would be nice to do a cool inset axes like this:  --- @ahaberlie commented...
This is probably trivial using xarray.
This would have caught the minor bug we found sooner. Need to add the `conda-forge/label/rc` channel somehow and make it an "allow_failure" build on Travis.
Need to take advantage of better siphon API. For instance, in the 250 hPa example, this: ```python cat = TDSCatalog('http://thredds.ucar.edu/thredds/catalog/grib/' 'NCEP/GFS/Global_0p5deg/latest.xml') best_ds = list(cat.datasets.values())[0] ncss = NCSS(best_ds.access_urls['NetcdfSubset']) ``` should be...
Starting notes for improvement: - Using generators to refactor loops: http://pastebin.com/9qgPQxV3
SciTools (the UK Met office group) has some interesting ideas in their [course materials](https://github.com/SciTools/courses/tree/master/course_content/notebooks). Things I thought were interesting: - Exercise breakdown into parts in different cells - Exercises seem...
We should only do things one way: - Consistent imports - use of `subplots` vs. `add_subplots` vs. `axes()` - Use Matplotlib OO interface rather than `pyplot` where possible
We should look at having easy access to running the notebooks in the cloud using something like MyBinder, or even with our own on something like Jetstream.
[flake8-nb](https://github.com/s-weigand/flake8-nb) exists, so it *should* be possible to flake8 check the notebooks.
Add an example overlaying a GLM field on top of an IR image.