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Julia Programming Projects

You're reading from   Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788292740
Length 500 pages
Edition 1st Edition
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Author (1):
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Adrian Salceanu Adrian Salceanu
Author Profile Icon Adrian Salceanu
Adrian Salceanu
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Julia Programming FREE CHAPTER 2. Creating Our First Julia App 3. Setting Up the Wiki Game 4. Building the Wiki Game Web Crawler 5. Adding a Web UI for the Wiki Game 6. Implementing Recommender Systems with Julia 7. Machine Learning for Recommender Systems 8. Leveraging Unsupervised Learning Techniques 9. Working with Dates, Times, and Time Series 10. Time Series Forecasting 11. Creating Julia Packages 12. 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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