Wes McKinney

Wes McKinney

Scientific software craftsman

  • @wesmckinn
  • + Wes McKinney

New York, New York

Areas of Expertise:

  • Python
  • data analysis
  • visualization
  • algorithms
  • data structures
  • distributed computing
  • software engineering
  • data science
  • consulting
  • speaking

Wes McKinney is a New York−based software developer and entrepreneur. After finishing his undergraduate degree in mathematics at MIT in 2007, he went on to do quantitative finance work at AQR Capital Management in Greenwich, CT. Frustrated by cumbersome data analysis tools, he learned Python and started building what would later become the pandas project. He's now an active member of the Python data community and is an advocate for the use of Python in data analysis, finance, and statistical computing applications.

Wes was later the co-founder and CEO of DataPad, whose technology assets and team were acquired by Cloudera in 2014. He has since become involved in big data technology, joining the Project Management Committees for the Apache Arrow and Apache Parquet projects in the Apache Software Foundation. In 2016, he joined Two Sigma Investments in New York City, where he continues working to make data analysis faster and easier through open source software.

Python for Data Analysis Python for Data Analysis
by Wes McKinney
October 2012
Print: $39.99
Ebook: $33.99

Webcast: Building Rich, High Performance Tools for Practical Data Analysis
February 20, 2013
This live webcast is presented by Wes McKinney author of Python for Data Analysis and will be a somewhat advanced, technical talk connecting computer science concepts like data structure design and algorithms with the details of building intuitive, high...

Webcast: Python for Data Analysis
October 10, 2012
In this hands-on webcast presented by Wes McKinney, author of Python for Data Analysis , he will showcase a number of examples and you will receive an introduction to some of the most important tools in the Python language for data preparation, data ...

"This book is a welcome addition to the Python canon, and anyone who is at all concerned with data analysis would do well to read it."
--Steve Holden, For Some Value of "Magic"