- Code Sprints
- Data Analysis
- Examples Repository
- Featured Tips
- Functional Programming
- Mac OS X
- Short Courses
- Time Series Analysis
- Why Python?
- 2018 AMS Python-Related Short Courses
- Call for Papers for the 2018 AMS Python Symposium
- AGU Session “New Approaches to Analyze Big Geoscientific Datasets”
- What’s needed for the Future of AOS Python? Get Involved!
- What’s needed for the Future of AOS Python? Tools for Automating AOS Data Analysis and Management
Category Archives: Teaching
By Damien Irving (Postdoctoral Fellow, CSIRO Oceans and Atmosphere) @DrClimate When thinking about education and training in scientific computing, you’d be hard pressed to find a bigger success story than Software Carpentry. Over the past five years or so, this … Continue reading
By Daniel Rothenberg (Postdoctoral Associate, Center for Global Change Science, MIT) @danrothenberg Over the last six years, I served the American Meteorological Society as a member and co-chair of its Student Conference Planning Committee. Each year, just a few weeks … Continue reading
At the AMS meeting next week, we’ll have a Town Hall on learning and teaching Python: Tuesday, 4 February 2014, 12:15-1:15 pm, Room C302. Here are some more details. Safe travels to everyone who’s going to Atlanta!
Andromeda Yelton has a very insightful article on the stages in learning to code and the implications for teaching programming to newbies.
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
Wanted to let folks know about the Call for Papers for the Fourth Symposium on Advances in Modeling and Analysis Using Python. Note this year we’re explicitly looking for papers on learning and teaching Python, besides the regular topics. Hopefully, … Continue reading
The PyAOS-teach mailing list (subscribe/unsubscribe page) is open for user discussion about topics related to teaching Python to AOS users.