Eytan Bakshy - Designing and Deploying Online Experiments with PlanOut

2,712 views · Published 8 June 2014 · 1:09:55 · Indexed 13 October 2026

Channel: PyData · 2014 · People & Blogs

Watch on YouTube

PyData SV 2014 
PlanOut is an open-source framework developed at Facebook for designing, implementing, and logging online experiments. This tutorial teaches you how to create both simple A/B tests and complex experiments in Python, as well as best practices for managing and analyzing experiments. We will also be taking a deep dive into how PlanOut is organized and can be extended to fit into production environments. For more information, see the PlanOut page on Github http://facebook.github.io/planout 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps

More from this channel

• 31:23 Kostas Perifanos - Authorship Attribution Using Python

  PyData

  2,663 views · 3 April 2014

• 31:08 Prash Majmudar - Measuring the Digital Economy Using Big Data

  PyData

  556 views · 3 April 2014

• 35:01 Martin Goodson - Most Winning A/B Test Results are Illusory

  PyData

  3,182 views · 3 April 2014

• 1:13:42 David Cournapeau & Simon Jagoe - Narrowing the Gap Between Array Computing and Databases

  PyData

  640 views · 13 April 2014

• 41:59 Dirk Gorissen - Measuring and Predicting Departures from Routine in Human Mobility

  PyData

  448 views · 14 April 2014

• 44:17 Jonny Edwards - Recommenders in Python

  PyData

  2,764 views · 14 April 2014

• 54:39 Gael Varoquaux - Building a cutting-edge data processing environment on a budget

  PyData

  799 views · 14 April 2014

• 41:31 Jacob Barhak - The Reference Model for Disease Progression

  PyData

  840 views · 11 June 2014