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PixieDust make Jupyter Notebooks with Apache Spark Faster, Flexible, and Easier to use

Description

PixieDust is a new Python open source library that helps data scientists and developers working in Jupyter Notebooks and Apache Spark to be more efficient. PixieDust speeds up data manipulation and visualisation with features like auto-visualisation, and integration with cloud services. Come along and learn how you can use this tool in your own projects to visualize and explore data effortlessly

Abstract

PixieDust is a new Python open source library that helps data scientists and developers working in Jupyter Notebooks and Apache Spark to be more efficient. PixieDust speeds up data manipulation and display with features like: Automated local install of Python and Scala kernels running with Spark Realtime Spark Job progress monitoring directly from the Notebook Use Scala directly in your Python notebook. Variables are automatically transferred from Python to Scala and vice-versa Auto-visualisation of Spark DataFrames using popular chart engines like Matplotlib, Seaborn, Bokeh, or MapBox Seamless integration to cloud services Create embedded apps with your own visualisations or apps using the PixieDust extensibility APIs Come along and learn how you can use this tool in your own projects to visualise and explore data effortlessly with no coding. If you prefer working with a Scala Notebook, this session is also for you, as PixieDust can also run on a Scala Kernel. Imagine being able to visualise your favourite Python chart engines from a Scala Notebook! This session will end with a demo combining Twitter, Watson Tone Analyser, Spark Streaming, and some fun real-time visualisations - all running within a Notebook.

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