DataAPIs-Workshop

Python-based workshop describing and exploring APIs for accessing publicly available data

Proposed outline

1. Discuss formats in which data is made availible: closed formats, single files, web pages, figures & tables, databases, APIs
2. Python library for accessing a data resource - best case, figure, queryies
3. Where to put JSON & HTTP response codes
4. Requests library for accessing REST APIs (or other APIs) directly
5. Scrapeing data from HTML, automating downloads, spidering

Lead in to SQL workshop the following week - importing data & formatting as CSV or other tabular.

Refer back to vis in Python workshop

List of typical urban analytics problems

List of Gainesville-specific data/questions

http://introtopython.org/visualization_earthquakes.html