Matthew Rocklin - Streaming Processing with Dask

PyData New York City 2017 Slides: matthewrocklin.com/slides/pydata-nyc-2017.html This talk discusses ongoing work to build streaming data processing systems for Python with Dask, a Pythonic library for parallel computing. This talk will discuss streaming primitives, dataframes, and integration with the Jupyter notebook and use example from financial time series and cyber-security. 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: github.com/numfocus/YouTubeVideoTimestamps