Python-based workshop describing and exploring APIs for accessing publicly available data
- Discuss formats in which data is made availible: closed formats, single files, web pages, figures & tables, databases, APIs
- Python library for accessing a data resource - best case, figure, queryies
- Where to put JSON & HTTP response codes
- Requests library for accessing REST APIs (or other APIs) directly
- 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