Lunch Bytes are a computing seminar series that aim to provide an informal forum for RSMAS students, researchers, and faculty to discuss and exchange knowledge on various computing topics, tools, and programming languages.
MSC 343, every Friday, 12 pm.
- August 24: Ray Bell (@raybellwaves, RSMAS/UM) -- Intro to Python
- August 31: Suvarchal Kumar (@suvarchal, RSMAS/UM) -- Hosting and managing your geophysical datasets
- September 7: Brian McNoldy (RSMAS/UM) -- Sharing Science with Scientists and the Public
- September 14: Natalie Perlin (RSMAS/UM) -- Introduction to the UM/Center for Computational Science resources and Pegasus supercomputer
- September 21: Tim Norris (@tibbben, UM Libraries/CCS) -- Intro to parallel computing with Python: Dask and Concurrent Futures
- September 28: Johnna Infanti (RSMAS/UM & UCAR) -- Introduction to NCAR Command Language (NCL) for Climate Data Analysis
- October 5: Heather Hunter (RSMAS/UM) -- Applying Machine Learning to Satellite Remote Sensing Data
- October 12: Philippe Miron (@tuxication, RSMAS/UM) -- Making beautiful plots with Python's matplotlib
- October 26: Matt Grossi (RSMAS/UM) -- Peeking under the hood of an artificial neural network
- November 9: Brian Mapes (RSMAS/UM) -- Load, don’t code: Online analysis using NASA Giovanni, Climate Explorer, and more
- December 7: Patrick Rynne (Waterlust) -- What I've learned from Waterlust: Launching your passion project while in grad school and turning it into a career...hopefully
- Any format welcome! Slides, live coding, whiteboard, or just your voice.
- 45 minutes or shorter.
- Feel free to ask us for feedback!
Please create a folder for your seminar as LBXX and upload any contents (e.g. slides (pdf's can be read on GitHub), codes, environmental files as well as a README file).