Introduction to Python for Social Scientists

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dc.contributor.authorKavalerchik, Anne
dc.contributor.authorKim, Eehyun
dc.date.accessioned2023-10-23T19:18:09Z
dc.date.available2023-10-23T19:18:09Z
dc.date.issued2023-10-20
dc.descriptionAnne Kavalerchik is a doctoral student in the departments of Sociology and Informatics at Indiana University. Her research interests are broadly related to inequality, social change, and technology. Eehyun Kim is a doctoral student in the departments of Sociology. Her research interests align with computational social science, sociology of knowledge, and science of science.
dc.description.abstractPython has become the lead instrument for data scientists to collect, clean, and analyze data. As a general-purpose programming language, Python is flexible and well-suited to handle large datasets. This workshop is designed for social scientists, who are interested in using Python but have no idea where to start. Our goal is to “demystify” Python and to teach social scientists how to manipulate and examine data that deviate from the clean, rectangular survey format. This workshop is intended for social scientists who are new to programming. No experience required.
dc.identifier.urihttps://hdl.handle.net/2022/29466
dc.language.isoen
dc.publisherIndiana University Workshop in Methods
dc.titleIntroduction to Python for Social Scientists
dc.typePresentation

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