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Data Workflows with Stata and Python

Author

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  • Stephen Childs

    (Education Policy Research Initiative, University of Ottawa)

  • Dejan Pavlic

    (Education Policy Research Initiative)

Abstract

Python is a general purpose programming language with an large library of packages that extend into domains that Stata does not touch. This talk will identify the key packages from Python that will allow it to work with Stata, primarily the pandas framework. Pandas is a relatively new, but extremely powerful, package for data preparation and analysis that works will with Stata - including support for categorical variables. This talk will discuss some new tools that have been developed to make it easier to connect Stata to Python. We will also discuss using Stata with the IPython Notebook, a tool that allows researchers to combine code and text in an easy to access document. During their work with the Education Policy Research Initiative, the authors have successfully transitioned much complex data preparation from Stata to Python, while still supporting Stata's powerful analytical tools. This talk is ideal for those interested in incorporating some Python into their workflow or planning a larger transition.

Suggested Citation

  • Stephen Childs & Dejan Pavlic, 2015. "Data Workflows with Stata and Python," 2015 Stata Conference 14, Stata Users Group.
    • Handle: RePEc:boc:scon15:14
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