Talk Proposal Submission
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talk
Data Driven Decisions Using PyPI Statistics(en)
Speakers
Paul Kehrer
Audience level:
Novice
Category:
Best Practices/Patterns
Description
Open source library developers have an analytics problem. What platform do my users run on? How many users do I have? Is it okay to drop support for something? How do you answer questions like this when people are embedding your software as a component of their own product? Fortunately, PyPI has a little-known service that you can leverage to answer questions like these. Learn how to harness it!
Objectives
Attendees will learn to use PyPI's statistics database to look up information relevant to their library and make informed decisions.
Abstract
Open source library developers have an analytics problem. What platform do my users run on? How many users do I have? Is it okay to drop support for something? How do you answer questions like this when people are embedding your software as a component of their own product? Fortunately, PyPI has a little-known service that you can leverage to answer questions like these.
We'll walk through setting up your computer to access the BigQuery statistics, check out a variety of queries, and discuss some limitations.
