Chapter 4. Publish your Data Analysis to the Web - the PixieApp Tool
"Data, I think, is one of the most powerful mechanisms for telling stories. I take a huge pile of data and I try to get it to tell stories."
– Steven Levitt, co-author of Freakonomics
In the previous chapter, we discussed how Jupyter Notebooks, coupled with PixieDust, accelerate your data science projects with simple APIs that let you load, clean, and visualize data without the need to write extensive code, as well as enable collaboration between data scientists and developers with PixieApps. In this chapter, we'll show how to liberate your PixieApps and associated data analytics from the Jupyter Notebook by publishing them as web applications using the PixieGateway server. This ...
Get Data Analysis with Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
