Since v0.8, the pandas library has greatly expanded its timeseries functionality. This tutorial will give an introduction to working with timeseries data in pandas. We'll cover how to create date ranges, convert between point (Timestamp) and interval (Period) representations, convenient indexing and time shifting, changing frequencies, resampling, filtering, and how to work with timezones. Attendees should be familiar with Python, Numpy, and pandas basics.

This talk was presented at PyData NYC 2012: nyc2012.pydata.org/. If you are interested in this topic, be sure to check out PyData Silicon Valley in March of 2013: sv2013.pydata.org/

j vimeo.com/53065093

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