melodykramer/social-feed-manager
manage rules and streams from social data sources, starting with twitter.
Discovered public repositories for melodykramer in the GitHub catalog.
manage rules and streams from social data sources, starting with twitter.
Small DC crime scraper
searches two csvs to see if the same string is in each one
Public repository.
GitHub 101
Public repository.
Ad Hawk
Twitter for Python!
Python workers that collect tweets from the twitter streaming api and track deletions
A project of the Library of Congress. Note: project members may work on both official Library of Congress projects and non-LC projects. Project mailing list can be found at http://listserv.loc.gov/archives/chronam-users.html.
Build agents that monitor and act on your behalf. Your agents are standing by!
A Python library for OAuth 1.0/a, 2.0, and Ofly.
Public repository.
Public repository.
Chosen is a library for making long, unwieldy select boxes more friendly.
Simple framework to build bookmarklets easily
A Python Tumblr API v2 Client
about this project and how you can help
adds tracking code
Select movies to watch using the Bechdel test and Rotten Tomatoes ratings.
The Legal Services Corporation has presented us with a compelling issue for legal hackers with the potential to help many low-income individuals around the country. In a nutshell, LSC offers civil legal services to low-income individuals on the basis of particular "service areas," which are defined on the basis of county, city, town, or other lines, as defined by Congress. LSC providers have locations within these services areas, and are only allowed to provide legal services within those areas. Therefore, it's important for low-income individuals to know which LSC locations can serve them (and, relatedly, which of those locations is closest to them). As it stands, the LSC search tool only offers the ability to search on the basis of state and county. Because counties can be very large, and sometimes the LSC service areas are not drawn on a county basis, the search function is not as helpful as it can be (and in some cases leads to confusing results). See Massachusetts for an example. Ideally, the search tool would be able to take a zip code as input and return the nearby locations in the assigned service area. In this hackathon, we will use the underlying mapping data that LSC has on file to create new and helpful ways for low-income individuals to search for their appropriate LSC location.
Learning Python through Project Euler
scraper