Episode 49

Data Science Tool Building (with Wes McKinney)

November 19th, 2018
learning data science

Wes McKinney talks about data science tool building, what it took to get pandas off the ground and how he approaches building “human interfaces to data” to make individuals more productive.

About Wes McKinney

Since 2007, Wes has been developing data analysis software, mostly for use in the Python programming language. His primary objective has been improving user productivity, increasing performance and efficiency, and enhancing data interoperability. He is best known for creating the pandas project and writing the book Python for Data Analysis. Since 2015, he has been focused on the Apache Arrow project. He also contributed to Apache Kudu (incubating) and Apache Parquet (where I am a PMC member). He was the co-founder and CEO of DataPad. He later spent a couple years leading efforts to bring Python and Hadoop together at Cloudera. In 2018,  Wes founded Ursa Labs, a not-for-profit open source development group in partnership with RStudio. In 2018, he became a Member of The Apache Software Foundation.

Check out these DataCamp courses