Introduction to Python for Social Scientists

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dc.contributor.authorMarahrens, Helge-Johannes
dc.contributor.authorKavalerchik, Anne
dc.date.accessioned2020-09-11T18:37:10Z
dc.date.available2020-09-11T18:37:10Z
dc.date.issued2020-09-11
dc.descriptionHelge-Johannes Marahrens is a doctoral student in the department of Sociology at Indiana University. He recently earned an MS in Applied Statistics and is currently working toward a PhD in Sociology. His research interests include cultural consumption, stratification, and computational social science with a particular focus on Natural Language Processing (NLP). Anne 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.en
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.en
dc.identifier.urihttps://hdl.handle.net/2022/25809
dc.language.isoenen
dc.publisherIndiana University Workshop in Methodsen
dc.relation.urihttps://purl.dlib.indiana.edu/iudl/media/m90d86tn6d
dc.titleIntroduction to Python for Social Scientistsen
dc.typePresentationen

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