This talk will demonstrate an example application of using Celery to extract all of the lyrics of the inspiring and influential Taylor Swift from the Internet. Using a light-hearted approach and practical Python examples, we aim to teach people the basics of using Celery for data extraction.
North Carolina developers and civil rights advocates used demographic data from nearly 20,000,000 unique NC traffic stops in the state to create a digital tool for identifying race-based policing practices: https://opendatapolicingnc.com/. Come learn more about the technology used (Python/Django) and how they're expanding into the state of Maryland.
One of Python’s strengths is that it can use code written in compiled languages like C, Fortran and C++. This talk gives an overview of your many options for getting Python to call and exchange data with code written in a compiled language. The goal is to make attendees aware of choices they may not know they have, and when to prefer one over another.
Interested in gathering data via SMS but don't know how to get started? Learn more about RapidPro, UNICEF's visual open-source SMS platform. - How SMS apps are used for surveys, crises, elections and data tracking - How to use RapidPro to jump start your own data gathering application - Using RapidPro's API to create your own data visualizations
Not everyone who becomes a developer started out their career that way. Encouraging people to transition into web development from other fields benefits both those individuals and the Django community as a whole by increasing visible diversity and diversity of perspective.