You're reading from Python Web Scraping Cookbook

Product typeBook

Published inFeb 2018

Reading LevelBeginner

PublisherPackt

ISBN-139781787285217

Edition1st Edition

Languages

Python

Tools

Scrapy

Concepts

Data Mining

Author (1)

Michael Heydt

Introduction

In this chapter we will examine how to search web content, derive analytical results, and also visualize those results. We will learn how to locate posters of content an visualize the distribution of their locations. Then we will examine how to scrape, model, and visualize the relationships between pages on Wikipedia.

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Python Web Scraping Cookbook

Published in: Feb 2018Publisher: PacktISBN-13: 9781787285217

Author (1)

Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.
Read more about Michael Heydt

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