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PyData ATL Lightning Talk

Avatar for Will McGinnis Will McGinnis
June 17, 2016
Programming
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300

PyData ATL Lightning Talk

https://www.github.com/wdm0006/git-pandas

Avatar for Will McGinnis

Will McGinnis

June 17, 2016
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Transcript

  1. Analyzing Git/ Github data with git-pandas (or: vanity metrics at

    scale)

  2. Who am I? • Will McGinnis • Write code at

    Predikto (we’re hiring) • www.predikto.com • twitter.com/willmcginnis • github.com/wdm0006

  3. What is git-pandas? • Open source library: https://github.com/wdm0006/git-pandas • Represents

    git data as pandas dataframes • Abstracts groups of repos into an object called a ProjectDirectory • Does some common analysis tasks for you

  4. Org-wide Punchcards

  5. Cumulative Blame

  6. Estimate Code Quality • “file owner” • metric for refactors

    • how long will an owner’s file go without being refactored?

  7. GitNOC

  8. None
  9. None

  10. Other things • Bus factors (for files, repos and orgs)

    • Development time estimation • Rate of change metrics (risk) • Basic datasets (commit history, file changes, branches, tags, etc.) • File owners • File details • and more: https://github.com/wdm0006/git- pandas