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Dana Bauer

Number of videos:
5
Scaling community diversity outreach
PyCon US 2013
Asheesh Laroia , Dana Bauer , Daniel Choi , Jessica McKellar
Recorded: March 16, 2013Language: English

In March '10, the Boston Python user group ran its first gender diversity outreach workshop. In the time since, the group has has moved the needle and inspired other communities to do the same. In this panel, you will hear communities like PyStar Philly, Railsbridge Boston, and the Chicago Python Workshop discuss their successes and difficulties with diversity-oriented outreach.

Visualizing Github, Part I: Data to Information
PyCon US 2013
Dana Bauer , Idan Gazit
Recorded: March 15, 2013Language: English

A treasure trove of data is captured daily by Github. What stories can that data tell us about how we think, work, and interact? How would one go about finding and telling those stories? This two-part talk is a soup-to-nuts tour of practical data visualization with Python and web technologies, covering both the extraction and display of data in illumination of a familiar dataset.

Visualizing Github, Part II: Information to Meaning
PyCon US 2013
Dana Bauer , Idan Gazit
Recorded: March 15, 2013Language: English

A treasure trove of data is captured daily by Github. What stories can that data tell us about how we think, work, and interact? How would one go about finding and telling those stories? This two-part talk is a soup-to-nuts tour of practical data visualization with Python and web technologies, covering both the extraction and display of data in illumination of a familiar dataset.

Python for data lovers: explore it, analyze it, map it
PyCon US 2012
Dana Bauer , Jacqueline Kazil
Recorded: March 10, 2012Language: English

Exploring and analyzing data can be daunting and time-consuming, even for data lovers. Python can make the process fun and exciting. We will present techniques of data analysis, along with python tools that help you explore and map data. Our talk includes examples that show how python libraries such as csvkit, matplotlib, scipy, networkx and pysal can help you dig into and make sense of your data.