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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Chapter 5. Python and PixieDust Best Practices and Advanced Concepts
"In God we Trust, all others bring data."
– W. Edwards Deming
In the remaining chapters of this book, we will do a deep dive into the architecture of industry use cases, including the implementation of sample data pipelines, heavily applying the techniques we've learned so far. Before we start looking at the code, let's complete our toolbox with a few best practices and advanced PixieDust concepts that will be useful in the implementation of our sample applications:
- Calling third-party Python libraries with
@captureOutputdecorator - Increasing modularity and code reuse of your PixieApp
- PixieDust support of streaming data
- Adding dashboard drill-downs with PixieApp events
- Extending PixieDust ...
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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.