Introduction to API Querying for HSS – Part III in the HSS Python Series

Date: 20 November 2024

Description: This is a beginner-level 4-part series for humanities and social sciences (HSS) researchers (HSS) and librarians. API Querying & Textual Analysis – Parts III & IV focus on allowing participants to apply basic coding concepts to API querying and text-based analysis. API stands for application programming interface. It acts as a communication interface so different computers/systems can talk to the application hosting the API. Querying APIs in HSS research is useful because data changes rapidly and it is a way to capture a small piece of a much larger set of data.

This is a continuation of the HSS Python Series. It is highly recommended that you complete the 2-part Python series, Introduction to Python & Coding for HSS – Part I & II in the HSS Python Series, before registering for API Querying and Textual Analysis.

Technical requirements: Install Python using Anaconda. To run Python, we are going to use Jupyter Notebooks via JupyterLab. If you installed Anaconda, JupyterLab is installed on your system.