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Python Web Scraping Cookbook

You're reading from  Python Web Scraping Cookbook

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Pages 364 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Michael Heydt Michael Heydt
Profile icon Michael Heydt
LinkedIn
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.
See other products by Michael Heydt

Table of Contents (13) Chapters

Preface Getting Started with Scraping Data Acquisition and Extraction Processing Data Working with Images, Audio, and other Assets Scraping - Code of Conduct Scraping Challenges and Solutions Text Wrangling and Analysis Searching, Mining and Visualizing Data Creating a Simple Data API Creating Scraper Microservices with Docker Making the Scraper as a Service Real Other Books You May Enjoy

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Authors (1)

Profile icon Michael Heydt
LinkedIn
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
See other products by Michael Heydt

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