Travis Oliphant: Numba: Flexible analytics written in Python with machine code speeds and avoiding
4,928 views · Published 10 August 2015 · 41:19 · Indexed 4 November 2026
Channel: PyData · 2015 · Science & Technology
PyData Seattle 2015 In this talk we will discuss the current state of Numba and how it can be used to accelerate performance and build analytics in Python with machine-code speeds and on multiple threads. Numba has improved dramatically over the past year and we will discuss what it can do and features coming in the future. Slides available here: http://www.slideshare.net/PyData/numba-flexible-analytics-written-in-python-with-machinecode-speeds-and-avoiding-the-gil-travis-oliphant 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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