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Category Archives: Tutorials
As I mentioned last week, the 2019 AMS Python Symposium screencasts are up. I really appreciated all the talks in the symposium, but I wanted to mention one talk in particular for folks to check out: Daniel Rothenberg’s “Rapidly Prototyping … Continue reading
Damien Irving has a great post describing the weather and climate stack in Python!
The screencasts/handouts of the talks from the Sixth AMS Python Symposium are up! See here. Additionally, here are the resources for the Brief Python Tutorials Workshops held during the Symposium (not all instructors had resources to share): (1) Hannah Aizenman … Continue reading
From Chris Barker: SciPy2015 will be held in Austin, Texas • July 6-12, 2015 this year. http://scipy2015.scipy.org/ehome/index.php?eventid=115969& The call for papers and tutorials is out — please consider submitting something! Note that I will be chairing a met-ocean mini-symposium this … Continue reading
From Davide Del Vento, posted today to the mailing list: Folks, I know most of you are focused on the upcoming AMS meeting (where unfortunately I can’t go), but I want to make sure you are aware of the next … Continue reading
Nikolay Koldunov is developing a site, earthpy.org, of examples of the use of Python in the geosciences, and is looking for contributors. Here’s more details from him: We are trying to create a place that would collect small tutorials and … Continue reading
Nikolay Koldunov has a neat introduction to the use of Python in the geosciences as a set of nbviewer files (h/t from the author). In particular I appreciated the examples of how to use pandas, Iris, Cartopy, etc. for AOS … Continue reading
Felipe Fernandes let me know about a blog he’s put together, python4oceanographers, with tips and examples for using Python in oceanography. Here’s a funny post where CTDs meet the comic XKCD 🙂
Scott Collis posted the following link of awesome scientific IPython notebook examples to the PyAOS mailing list today: https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks I thought the NFL rankings calculator to be particularly fun :). Check the examples page out!
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