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The New Builders Podcast

Today’s applications are central to decision-making at all levels of society – whether it’s helping municipal governments monitor critical infrastructure using smart sensor data, or helping consumers find the nearest store to buy their favorite brand of cereal. The New Builders podcast features interviews with the innovators behind these apps, in which they reveal their best practices, latest projects and favorite tools.
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Jun 2, 2017

In David Taieb's view, the best line of code is the one you didn't have to write. Hence the inspiration behind PixieDust, an open source helper library, built by Taieb and his team. PixieDust makes it easier for users of Jupyter Notebooks to start analyzing data quicker, without nearly as much coding, and simplifies data science for developers and business users.

David shares the origin story behind PixieDust and how he built it (5:20), PixieDust's compatibility with the user's preferred flavor of Jupyter, be it Apache Spark, Python or Scala (7:54), some of the other rendering engines (Mapbox, Bokeh, Matplotlib) that come built in (13:08), the companion project of HTML- and CSS-powered PixieApps (15:13), and PixieDust's role in enabling businesses in the Middle East to make better data-driven decisions (18:58).

Register for the IBM Data Science Bootcamp at Spark Summit to learn the ins and outs of the open source PixieDust library and how it simplifies working in a Jupyter Notebook.

IBM Data Science Experience (DSX) is now available as part of the IBM Bluemix Catalog. See it in action with a free trial of DSX. 

You can find new episodes of The New Builders on developerWorks TV and SoundCloud. Find out more about IBM Watson Data Platform at ibm.co/watsondataplatform. Contact host Jim Young on Twitter (@JW_Young) or email (jwyoung@us.ibm.com). The show’s music is provided by School for Robots. Check them out at schoolforrobots.bandcamp.com!

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