Lunch Bytes
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.
Where and when:
MSC 343, Fridays at 12 pm.
Schedule
- February 22: Milan Curcic (RSMAS/UM) – Introduction to cloud computing
- March 22: Yu Gao (RSMAS/UM) – Data analysis with Pandas Dataframe: Live coding for beginners
- April 5: Joseph Anderson (RSMAS/UM) – Neural Networks and TensorFlow: A Gentle Introduction
- April 12: David Grossman (CG/UM) – Parallel Computing in Python with Dask on Pegasus
- April 19: Kayla Besong (RSMAS/UM) – Xarray: An Introduction to Python’s Labeled Array Package
- May 3: Kelsey Malloy (RSMAS/UM) – Switching to Python: Computation & Stat Basics for Matlab and NCL Converts
Presenter Guidelines
- Any format welcome! Slides, live coding, whiteboard, or just your voice.
- 45 minutes or shorter.
- Feel free to ask us for feedback!
Contributing
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).
See also
Live coding guide by Software Carpentry