Data Manipulation with Python

This workshop teaching basic data manipulations with Python using the Pandas library, and will cover topics such as loading data into a Pandas DataFrame, performing basic cleaning and analysis, and visualizing relevant aspects of a dataset. To learn these skills concretely, we will work with a dataset of tweets collected during the release of the Apple Watch.

Prerequisites: You should be familiar with basic Python syntax and fundamental programming concepts such as variables, functions, and control flow. If you need a refresher, check out A Byte of Python.

This workshop is offered by Stanford Libraries' Center for Interdisciplinary Research as part of its mission to provide training in technical academic research practices and applied research methods.  Many thanks to the Center for Spatial and Textual Analysis for hosting us.