PixieDust: Python Helper library for Spark IPython Notebooks

Abstract
PixieDust is an Open Source Python library that simplifies and improves Jupyter Notebooks working with Apache Spark. In this session, we’ll deep dive into PixieDust core capabilities like PackageManager, Visualizations, Cloud Integration, Scala Bridge to Python, Extensibility and Embedded notebook apps. If you are a data scientists who doesn’t want to spend any more time writing complex matplotlib code to create charts or a data developer who want to build compelling applications within the Notebook for Line of Business users, you will be interested to learn about PixieDust. We’ll complete in the session two PixieDust application demos: one that predicts flight delays using Apache Spark and Machine Learning, and another that conducts real-time sentiment analysis of Twitter data.  
Speaker Bio
David Taieb is the STSM for the Cloud Data Services Developer Advocacy team at IBM, leading a team of avid technologists with the mission of educating developers on the art of possible with cloud technologies. He’s passionate about building Open Source tools that help improve developer productivity and overall experience. David enjoys sharing his experience by speaking at conferences and meeting as many people as possible.  
Special Guest
We will have as a special guest: Hillary Mason (<A HREF="https://www.linkedin.com/in/hilarymason" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://www.linkedin.com/in/hilarymason</A>) who will be a keynote speaker at the World of Watson conference.

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PixieDust: Python Helper library for Spark IPython Notebooks

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PixieDust: Python Helper library for Spark IPython Notebooks

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