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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Introducing PixieDust
Tip
Fun fact
I am often asked how I came up with the name PixieDust, for which I answer that I simply wanted to make Notebook simple, as in magical, for non-data scientists.
PixieDust (https://github.com/ibm-watson-data-lab/pixiedust) is an open-source project composed primarily of three components designed to address the three goals stated at the beginning of this chapter:
- A helper Python library for Jupyter Notebooks that provides simple APIs to load data from various sources into popular frameworks, such as pandas and Apache Spark DataFrame, and then to visualize and explore the dataset interactively.
- A simple Python-based programming model that enables developers to "productize" the analytics directly into the Notebook by ...
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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.