Jupyter Notebook examples for perspective-python

This folder contains several notebooks designed as an introduction to the various features of perspective-python:

• table_tutorial.ipynb shows how to load, update, query, and serialize data using Table and View, and how to connect multiple Table instances together using on_update.
• widget_tutorial.ipynb demonstrates how to use PerspectiveWidget as a powerful interactive visualization component within a Jupyter notebook.
• pandas_pivots.ipynb displays Perspective's ability to read pivots from a pivoted DataFrame and automatically apply it as part of a PerspectiveWidget.

Each notebook is fully self-contained and should offer a good place to start for those interested in using perspective-python whether within a Jupyter environment or in a pure-Python context.

For examples pertaining to perspective-python Tornado servers, check out:

• tornado-python: a simple Tornado server that delivers a static dataset to the user using perspective-python and <perspective-viewer>.
• tornado-streaming-python: a streaming Tornado server that demonstrates perspective-python's high throughput and performance in streaming scenarios.
• workspace-editing-python: a full-featured example using <perspective-workspace> that illustrates a deep and powerful integration between <perspective-workspace> and perspective-python.