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Julia 1.0 Programming Complete Reference Guide

You're reading from   Julia 1.0 Programming Complete Reference Guide Discover Julia, a high-performance language for technical computing

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Product type Course
Published in May 2019
Publisher
ISBN-13 9781838822248
Length 466 pages
Edition 1st Edition
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Author (1):
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Ivo Balbaert Ivo Balbaert
Author Profile Icon Ivo Balbaert
Ivo Balbaert
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Table of Contents (18) Chapters Close

Preface 1. Installing the Julia Platform FREE CHAPTER 2. Variables, Types, and Operations 3. Functions 4. Control Flow 5. Collection Types 6. More on Types, Methods, and Modules 7. Metaprogramming in Julia 8. I/O, Networking, and Parallel Computing 9. Running External Programs 10. The Standard Library and Packages 11. Creating Our First Julia App 12. Setting Up the Wiki Game 13. Building the Wiki Game Web Crawler 14. Adding a Web UI for the Wiki Game 15. Implementing Recommender Systems with Julia 16. Machine Learning for Recommender Systems 17. Other Books You May Enjoy

Data harvesting through web scraping

The technique for extracting data from web pages using software is called web scraping. It is an important component of data harvesting, typically implemented through programs called web crawlers. Data harvesting or data mining is a useful technique, often used in data science workflows to collect information from the internet, usually from websites (as opposed to APIs), and then to process that data for different purposes using various algorithms. 

At a very high level, the process involves making a request for a web page, fetching its content, parsing its structure, and then extracting the desired information. This can be images, paragraphs of text, or tabular data containing stock information and prices, for example—pretty much anything that is present on a web page. If the content is spread across multiple web pages, the crawler...

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