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A Python library for unevenly-spaced time series analysis
Clean personally identifiable information from dirty dirty text.
Code to generate the Datascope logo
Code for generating sweet figs about design.
How accurate are fantasy football projections?
A quick 'n dirty model of how Datascope makes money
Simple Python client for interacting with Google BigQuery.
visualization of how people become data scientists
organizing output from workshops
import random.scripts, random.tools, random.ideas
Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.
THE INTERNET OF THINGS
Visualize where new businesses are created in the city
A wiki (or pile of Markdown files) comprising our collective knowledge on various helpful things related to Chicago and data science.
"branding guidelines" for Datascope. How do we make our communications fully represent how awesome we actually are?
A peer review system: Datascopers vote to give each other awards for their accomplishments
Google Cloud Client Library for Python
Simple configuration to start a new vagrant project.
interactive playground for classifier accuracy
web services API and training interface for removing filth from dirty dirty text
a wrapper for long-running tasks that iterate over many things, printing friendly 'percentage done' messages to standard error.
Example of how to configure your scikit-learn + flask + d3 pipeline
Lots of fun.
Code and other stuff for coffee-related blog post started by @gitlaura