October 2018
Beginner
192 pages
3h 39m
English
Content preview from Applied Data Science with Python and Jupyter
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3
Web Scraping and Interactive Visualizations
Learning Objectives
By the end of this chapter, you will be able to:
- Describe how HTTP requests work
- Scrape tabular data from a web page
- Build and transform Pandas DataFrames
- Create interactive visualizations
In this chapter, you will learn the fundamentals of HTTP requests, scrape web page data, and then create interactive visualizations using the Jupyter Notebook.
Introduction
So far in this book, we have focused on using Jupyter to build reproducible data analysis pipelines and predictive models. We'll continue to explore these topics in this chapter, but the main focus here is data acquisition. In particular, we will show you how data can be acquired from the web using HTTP requests. ...
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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.