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In this tutorial, attendees will learn how to use the IPython Notebook’s display architecture and interactive widgets. As we cover these topics, attendees will learn about the underlying architecture, how to use IPython’s existing APIs, and how to extend them for their own purposes. This tutorial will not cover the basics of the IPython Notebook.
IPython provides tools for interactive and parallel computing that are widely used in scientific computing, but can benefit any Python developer.
We will show how to use IPython in different ways, as: an interactive shell, an embedded shell, a graphical console, a network-aware VM in GUIs, a web-based notebook with code, graphics and rich HTML, and a high-level framework for parallel computing.
All materials for this tutorial can be found on our github repository