wesmckinney.com Open in urlscan Pro
75.2.60.5  Public Scan

Submitted URL: http://wesmckinney.com/
Effective URL: https://wesmckinney.com/
Submission: On March 17 via api from US — Scanned from DE

Form analysis 0 forms found in the DOM

Text Content

Wes McKinney
Search
 * Home
 * Book
 * Blog
 * Talks




WES MCKINNEY


LinkedIn Twitter GitHub Email Blog talks


BIO

I am an entrepreneur and open source software developer focusing on analytical
computing. I am currently a Principal Architect at Posit PBC.

I co-founded Voltron Data and now serve on its advisory board. I created or
co-created the pandas, Apache Arrow, and Ibis projects. I am a Member of The ASF
and I have authored three editions of Python for Data Analysis.

In the past, I was with Ursa Computing, Ursa Labs (with Posit’s help), Two Sigma
Investments, Cloudera, DataPad, and AQR Capital Management. I received my S.B.
in mathematics from MIT in 2007. I grew up in Knoxville, TN and Akron, OH, and
currently live in Nashville, TN.


PROJECTS



 * Python for Data Analysis: Book authored for O’Reilly Media. Three editions
   (2012, 2017, 2022) and translations in many languages.
 * Apache Arrow: I am a co-creator and PMC member, focusing on the C++ and
   Python implementations. I helped design the core Arrow format and helped
   start the Flight, Nanoarrow, and ADBC subprojects.
 * pandas: Python data analytics toolkit. I created the project in 2008 and
   turned it over to its open source community in 2013. I remain the “Benevolent
   Dictator for Life” but this is mostly a ceremonial role.
 * Ibis: A Python DSL toolkit bringing together the best ideas of data frames
   and SQL. Created in 2015 at Cloudera.
 * Apache Parquet: I am a PMC member and a principal author of the C++
   implementation and Python bindings.

--------------------------------------------------------------------------------

© Copyright 2023 Wes McKinney. Except where otherwise noted, all rights
reserved. The views and opinions on this website are my own and do not represent
my current or former employers.