Coder Social home page Coder Social logo

python-for-geosciences's Introduction

Python in the Geosciences

Ongoing (Fall 2015-present) Seminar - University of Washington

Time:

1st Tuesday of the month, 3:30PM

Location:

6th floor of the Physics/Astronomy Tower (PAT), WRF Data Science Studio, Seminar Room C607 or C610

Background:

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!

Mailing list

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.

Schedule

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)

Seminars from previous academic years

See the seminar listings and access materials from most of the seminars

Other Workshops / Seminars / Resources:

  • Atmos-Python Workshop: [email protected] (Andre or Jeremy)
  • UW eScience Python Seminar, Fall 2017?

python-for-geosciences's People

Contributors

emiliom avatar aaarendt avatar scottyhq avatar lizaclark avatar jakevdp avatar

Stargazers

 avatar

Watchers

James Cloos avatar  avatar  avatar

Forkers

insar-invert

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.