Name: Python-for-geosciences
Owner: UW eScience Institute
Description: null
Created: 2016-11-21 20:52:38.0
Updated: 2018-05-21 13:51:04.0
Pushed: 2018-05-02 06:43:09.0
Homepage: null
Size: 47200
Language: Jupyter Notebook
GitHub Committers
| User | Most Recent Commit | # Commits |
|---|
Other Committers
| User | Most Recent Commit | # Commits |
|---|
Ongoing (Fall 2015-present) Seminar - University of Washington
1st Tuesday of the month, 3:30PM
6th floor of the Physics/Astronomy Tower (PAT), WRF Data Science Studio, Seminar Room C607 or C610
In recent years, the Python programming language has emerged as a popular choice for geoscientists. Python is an easy to learn, easy to read, fast to write, open source, multi-platform platform language. Accompanying the Python language is a large community of free, open source projects that have facilitated rapid scientific development and data analysis. This informal seminar series focuses on new and existing Python tools and applications within the geoscience community and aims to connect Python users across the UW campus.
This seminar series was started in Fall 2015 by Joe Hamman (formerly at UW-CEE, now with NCAR) and Emilio Mayorga (UW-APL), and is currently coordinated by Emilio with help from Anthony Arendt (UW-APL & eScience Institute) and Don Setiawan (UW-APL). Thanks go to the eScience Institute for their support in hosting the seminars from the start!
We use the python_for_geoscience[at]uw.edu list to announce seminars. But if you're subscribed, feel free to send an email on a relevant topic! You may subscribe, unsubscribe or change your settings, at this link.
| Date | Speaker | Title | | —— | —- | —- | | | Fall 2017 Quarter | | | Oct. 3 | Andrew Bennett, UW CEE | MetSim, and lessons learned in legacy rewrites | | Nov. 7 | Aji John, UW Biology (Buckley Lab) | Realtime climate data acquisition using Amazon AWS Lambda | | Dec. 5 | Tony Cannistra, UW Biology (Buckley Lab) & eScience | Process Discussion: Two Geospatial Analysis Challenges | | | Winter 2018 Quarter | | | Jan. 9 | Cancelled | Cancelled | | Feb. 6 | Yixin Mao, UW CEE (Hydro | Computational Hydrology group) | Python as a tool to build large-scale geoscience systems - An example on a hydrologic data assimilation system | | Mar. 6 | Don Setiawan, UW APL | Python and R on the Cloud via JupyterHub and RStudio server | | | Spring 2018 Quarter | | | Apr. 3 | Russell Kramer, UW SEFS (Franklin Lab) | Visualizing and error checking data from three-dimensionally mapped trees using Sitchensis, a python-based tool for exploring tree-crown structure | | May 1 | Scott Henderson, UW eScience | Satellite radar image processing with python on Amazon Web Services (AWS) |
See the seminar listings and access materials from most of the seminars