Intro to Jupyter for Water Data Analysis

Description

Berkeley Lab in collaboration with Project Jupyter, UC Berkeley and Kitware, Inc. are hosting a virtual tutorial for the California Water Data Challenge. Challenge participants will be introduced to Jupyter notebooks and learn their utility in mapping and analyzing California water quality datasets. Jupyter is an open source tool that is widely used for developing interactive data science projects.

Tutorial Video Recordings

PART 1 - JUPYTER OVERVIEW

PART 2 - BERKELEY LAB DEMOS OF WATER DATA ANALYSIS

PART 3 - KITWARE DEMO

Final Agenda

Monday, July 16, 2018

Click on the presentation links to view the Binder materials

09:30-09:35 am Introduction (Charu Varadharajan, LBNL)

09:35-10:35 am Jupyter overview (Matthias Bussonnier, Project Jupyter/UCB).

10:35-10:40 am Stretch break with Q&A

10:40-10:55 am Demo of an R notebook: Impacts to water quality from 2017 Sonoma county wildfires using USGS data (Michelle Newcomer, LBNL).

10:55-11:00 am Transition with Q&A

11:00-11:15 am Demo of a python notebook: Impacts to water quality from produced water disposal in Kern County, CA (Valerie Petela, Sacramento State, and Charu Varadharajan, LBNL)

11:15-11:20 am Stretch break with Q&A

11:20 am -12:20 pm Advanced mapping and visualization with Jupyter notebooks (John Tourtellott and Aashish Chaudhary, Kitware Inc.)

12:20-12:30 pm Q&A, wrap-up.