• Wes McKinney

    Author of Pandas

    Since 2007, Wes Mckinney have 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. He was the co-founder and CEO of DataPad, and is now the lead software engineer working on Python data tools at Cloudier.

  • Armin Ronacher

    Creator of Flask, Jinja, Werkzeug and Lektor.

    Armin Ronacher is a passionate developer interested in web development, graphics, realtime rendering and tons of other stuff. He is one of the founding members of the Pocoo Team and lead developer on a couple of popular Python projects.

    He is currently located in Austria and London and working as a partner for Sentry and as an advisor for Fireteam Ltd.. He is available for on-site teaching, presentations and certain types of short term contract work. Aside from that He does open source development and like giving talks at various conferences.

  • Jacob Kaplan-Moss

    Core contributor to Django

    Jacob Kaplan-Moss is one of the lead developers and co-creator of Django. As an experienced software developer with a focus on web application and content management architecture. In 2005 Jacob joined the Lawrence Journal-World, a locally-owned newspaper in Lawrence, Kansas, and helped develop and eventually open source Django. Jacob worked at 18F and co-own Revsys.

  • Maciej Fijałkowski

    Core developer of PyPy.

    Maciej is a freelancer working mostly on PyPy for the past several years. He's a core developer since 2006, working on all kinds of parts in the entire codebase including JIT, GC and assembler backends. Maciej has been going to many conferences, advertising PyPy to a broader audience for the past several years, including a keynote at Pycon 2010. He's also the main maintainer of jitviewer, a tool for analyzing performance of your python programs under PyPy.