Advancing the State of Data Science Through Open Source
Data science leaders are both excited and concerned about their growing reliance on open source technologies. The best way to ensure smart, sensible use of open source is to be part of the community and to drive its innovation, as opposed to simply benefiting from what others have built. In this session, Wes will discuss open source funding and support models (with an eye towards data science), discussing today’s reality and the ways companies can get involved, either by contributing to projects through code or offering financial support.
About Wes McKinney
Since 2007, Wes McKinney has been creating fast, easy-to-use data wrangling and statistical computing tools, mostly in the Python programming language. He is best known for creating the pandas project and writing the book Python for Data Analysis. He is also a contributor to the Arrow, Kudu (incubating), and Parquet projects within the Apache Software Foundation. Wes was the co-founder and CEO of DataPad. He later spent a couple years leading efforts to bring Python and Hadoop together at Cloudera. Wes is now working for Two Sigma in New York as a senior vice president and software architect.