Improving performance and scalability of data science libraries

EPISODE · May 14, 2020 · 33 MIN

Improving performance and scalability of data science libraries

from The Data Exchange with Ben Lorica · host Ben Lorica

In this episode of the Data Exchange I speak with Wes McKinney, Director of Ursa Labs and an Apache Arrow PMC Member. Wes is the creator of pandas, one of the most widely used Python libraries for data science. He is also the author of the best-selling book, “Python for Data Analysis” – a book that has become essential reading for both aspiring and experienced data scientists.Our conversation focused on data science tools and other topics including:Two open source projects Wes has long been associated with: pandas and Apache Arrow.The need for a shared infrastructure for data science.Ursa Labs: its mission and structure.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

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Improving performance and scalability of data science libraries

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