Wes McKinney - Announcing Ursa Labs: an innovation lab for open source data science
Announcing Ursa Labs: an innovation lab for open source data science Funding open source software development is a complicated subject. I’m excited to announce that I’ve founded Ursa Labs (https://ursalabs.org), an independent development lab with the mission of innovation in data science tooling. I am initially partnering with RStudio and Two Sigma to assist me in growing and maintaining the lab’
Python for Data Analysis Book
The 2nd Edition of my book was released digitally on September 25, 2017, with print copies shipping a few weeks later. The 1st Edition was published in October, 2012. Where to buy? 2nd Edition Resources Book Data and Code Notebooks: https://github.com/wesm/pydata-book What's New in the 2nd Edition? Updated for Python 3.6 Updated for latest pandas (0.20.3) Revamped intro chapters including abridged
Wes McKinney
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 Compu
Development update: High speed Apache Parquet in Python with Apache Arrow
Over the last year, I have been working with the Apache Parquet community to build out parquet-cpp, a first class C++ Parquet file reader/writer implementation suitable for use in Python and other data applications. Uwe Korn and I have built the Python interface and integration with pandas within the Python codebase (pyarrow) in Apache Arrow. This blog is a follow up to my 2017 Roadmap post. Desig
Wes McKinney - 2017 Outlook: pandas, Arrow, Feather, Parquet, Spark, Ibis
2017 is shaping up to be an exciting year in Python data development. In this post I’ll give you a flavor of what to expect from my end. In follow up blog posts, I plan to go into more depth about how all the pieces fit together. I have been a bit delinquent in blogging in 2016, since my hands have been quite full doing development and working on the 2nd edition of Python for Data Analysis. I am g
Wes McKinney - Why pandas users should be excited about Apache Arrow
I’m super excited to be involved in the new open source Apache Arrow community initiative. For Python (and R, too!), it will help enable Substantially improved data access speeds Closer to native performance Python extensions for big data systems like Apache Spark New in-memory analytics functionality for nested / JSON-like data There’s plenty of places you can learn more about Arrow, but this pos
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