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NOTICE: This version of the NSF Unidata web site (archive.unidata.ucar.edu) is no longer being updated.
Current content can be found at unidata.ucar.edu.
To learn about what's going on, see About the Archive Site.
Hi, Apologies on missing a couple of these. The holidays and AMS really kept me busy. On to your summary of what's been going on in the world of Python at Unidata: ---2017 AMS Annual Meeting--- The 2017 AMS annual meeting was a great success. Ryan May presented the core science keynote at the Python Symposium to a packed house. The recording and slides are available here: https://ams.confex.com/ams/97Annual/webprogram/Paper314111.html There was also a lot of useful feedback at Alex Haberlie's poster on gridding in MetPy and Ryan May's poster about the road to MetPy 1.0: https://ams.confex.com/ams/97Annual/webprogram/Paper304950.html https://ams.confex.com/ams/97Annual/webprogram/Paper314057.html Julien Chastang also presented on Unidata's Online Python Training: https://ams.confex.com/ams/97Annual/webprogram/Paper315368.html https://unidata.github.io/online-python-training More Unidata AMS 2017 highlights here: https://www.unidata.ucar.edu/blogs/news/entry/ams-2017- conference-highlights-from Hope to see you in 2018 in Austin! ---New Unidata Python Staff--- The end of January brought a new staff member to Unidata's Python team: John Leeman. John comes to us via Penn State (geophysics), and you can learn more here: https://www.unidata.ucar.edu/blogs/news/entry/unidata- program-center-welcomes-john John has already been working hard on helping MetPy move ahead--welcome aboard, John! ---Regional Workshops--- We will be in Millersville, PA (at Millersville University) on April 6-8 holding a regional workshop focused on Python, including MetPy, Siphon and using AWIPS with Python. If you can get yourself to Millersville, you're welcome to attend! For more information see: https://www.unidata.ucar.edu/blogs/news/entry/2017- millersville-regional-workshop Seats are limited! We're talking to other host institutions about additional Python workshops, and we'll be working to improve the Python workshop materials. Stay tuned! https://unidata.github.io/unidata-python-workshop --MetPy-- In the interim, MetPy had 0.4.2 and 0.4.3 bug-fix releases. The biggest changes were fixing some oddities in the Skew-T plotting. More information is available here: https://github.com/Unidata/MetPy/releases We're also working hard on the next release, likely 0.5, planned for the end of March. Mostly bug-fixes, but also a few additional calculations, including (hopefully) CAPE/CIN. The focus is on items supporting the regional workshops. You always can see our thinking and planning here: https://github.com/Unidata/MetPy/milestones as well as by installing ZenHub (https://www.zenhub.com/) and looking here: https://github.com/Unidata/MetPy/milestones#boards We're a community project, and as such we welcome input on those plans. I'd also like to highlight that since the beginning of November 2016 (our last update), a lot of you have reported issues and we've merged Pull Requests from Kevin Goebbert (upper air fixes), Aaron Hill (meteogram example), Shawn Murdzek (hodograph fix), and Will Holmgren (documentation fix). Thanks for the help! ---Matplotlib 2.0--- This isn't Unidata-specific, but I wanted to call attention to the fact that Matplotlib finally had its official 2.0 release. If you weren't already aware, Matplotlib 2.0 is a large release changing the default style--no code breakage, but your plots will look different (and hopefully better by default). For a summary of those changes, see: http://matplotlib.org/users/dflt_style_changes.html As always, we welcome your questions and feedback. We especially love the pull requests, but I cannot emphasize enough how important your feedback is in shaping our plans. Until next time, Ryan -- Ryan May, Ph.D. Software Engineer UCAR/Unidata Boulder, CO
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