Name: Christopher Tull
Type: User
Company: @California-Data-Collaborative, @argo-marketplace
Bio: Public technologist grappling with the unfolding planetary crisis.
Supporting water managers at @California-Data-Collaborative
Location: Oxnard, CA
Blog: http://christophertull.org/
Christopher Tull's Projects
Final project for the image processing portion of Applied Data Science at CUSP
A series of DAGs/Workflows to help maintain the operation of Airflow
Amazon Redshift Database Loader implemented in AWS Lambda
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
GeoJSON boundary polygons for major CA water agencies.
CARTO VL: a Javascript library to create vector-based visualizations
Repository hosting my personal website.
Map of weather stations used by the California Irrigation Management Information System (CIMIS).
Docker Apache Airflow
A Python package of tools to support population synthesizers
DWR Modeling Grids
An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
A project to examine carbon emission scaling in the US.
Quick and simple security for Flask applications
From the world's largest port to the nation's first freeways to pioneering aqueducts, California's history has been defined by visionary public works
Apache Airflow (Incubating)
a collection of knitr examples
NYC Planning's Zoning and Land Use App
Example graphs as I learn D3.
Forked from klarsen1/MarketMatching and modified for use in the paper "Extending Bayesian structural time-series estimates of causal impact to many household conservation initiatives"
Learning flask using the Flask Mega-Tutorial
Example MVT server and map for pedagogical purposes
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python Lambda Chrome Automation (naming pending)
Create Edward Tufte style slopegraphs with R and ggplot2
Basic modeling of time series data acquired from the California Data Exchange Center