December 2018
Beginner to intermediate
490 pages
10h 38m
English
Content preview from Data Analysis with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
In this chapter, we've covered the foundational building blocks of the PixieApp programming model that lets you create powerful tools and dashboards directly in the Notebook.
We've also illustrated PixieApp concepts and techniques by showing how to build a GitHub Tracking sample application, including detailed code examples. Best practices and more advanced PixieApp concepts will be covered in Chapter 5, Python and PixieDust Best Practices and Advanced Concepts, including events, streaming, and debugging.
By now, you should hopefully have a good idea of how Jupyter Notebooks, PixieDust, and PixieApps can help bridge the gap between data scientists and developers by enabling them to collaborate from within a single tool, such as Jupyter Notebook. ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.