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 explored various advanced concepts, tools, and best practices that added more tools to our toolbox, ranging from advanced techniques for PixieApps (Streaming, how to implement a route by integrating third-party libraries with @captureOutput, PixieApp events, and better modularity with pd_app), to essential developer tools like the PixieDebugger. We've also covered the details of how to create your own custom visualization using the PixieDust display() API. We also discussed pixiedust_node, which is an extension of the PixieDust framework that lets developers who are more comfortable with JavaScript work with data in their favorite language.
Throughout the remainder of this book, we are going to put all these lessons ...
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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.