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 discussed the reasons why our data science tooling strategy was centered around Python and Jupyter Notebook. We also introduced the PixieDust capabilities that improve user productivity with features such as the following:
- Data loading and cleaning
- Data visualization and exploration without any coding
- A simple programming model based on HTML and CSS, called PixieApp, for building tools and dashboards that interact directly with the Notebook
- A point and click mechanism to publish charts and PixieApp directly to the web
In the next chapter, we'll do a deep dive on the PixieApp programming model, discussing every aspect of the APIs with numerous code samples.
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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.