There are many Python resources for scientists, and many specific Python packages for atmospheric and oceanic scientists, but (as far as we know), there is no single site that tries to show atmospheric and oceanic sciences (AOS) newcomers to Python what is available, and helps update experienced users as to the cutting-edge of using Python in AOS. We hope this site will help accomplish both goals. Please come and join us!
This site supports these features:
- Mailing Lists: The main PyAOS mailing list is open for user discussion about AOS Python topics. Periodically, we also send out an email linking to the Featured Tip. There is also a mailing list dedicated to topics related to teaching Python to AOS users.
- Packages: A (hopefully someday) comprehensive listing of AOS Python packages and modules.
- Training: The general Python manuals are really robust, but it’s often helpful to have something more AOS specific. This section lists both kinds of resources and also hosts the course web pages for some of the AMS Python short courses we’ve run.
Posts are authored by the individual who posted them or those credited in the posts. Unless otherwise noted, editor notes on posts are by Johnny Lin. Uncredited pages are are authored or edited by Johnny Lin (with uncredited contributions by others), except for the AMS 2011 Short Course page and child pages, which are authored by Johnny Lin and Charles Doutriaux.
All comments must be approved prior to posting. Please use a reasonably real username and an email address that is plausibly related to your username; mismatches are often symptoms of spambot activity and will lead to non-approval of the comment. I have no desire for this site to support a backbiting comment flamewar, so any comment I think is even remotely in that vein will not be approved.
The Header Picture
The picture at the top of the blog is a cropped version of an image taken on October 11, 2013, at 2200 UTC, from the buoy camera on the National Data Buoy Center’s Station 44013 buoy located 16 nm east of Boston, MA. The image is in the public domain; details can be found on the NOAA/NWS disclaimer page. Thanks to Joel Lawhead for suggesting and pointing me to the image! Incidentally, the folks at the NDBC mission control center make use of Python in their work. 🙂