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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

Building our Wikipedia crawler - take two


Our code runs as expected, refactored and neatly packed into a module. However, there's one more thing I'd like us to refactor before moving on. I'm not especially fond of our extractlinks function.

First of all, it naively iterates over all the HTML elements. For example, say that we also want to extract the title of the page—every time we want to process something that's not a link, we'll have to iterate over the whole document again. That's going to be resource-hungry and slow to run.

Secondly, we're reinventing the wheel. In Chapter 3, Setting Up the Wiki Game, we said that CSS selectors are the lingua franca of DOM parsing. We'd benefit massively from using the concise syntax of CSS selectors with the underlying optimizations provided by specialized libraries.

Fortunately, we don't need to look too far for this kind of functionality. Julia's Pkg system provides access to Cascadia, a native CSS selector library. And, the great thing about it is...

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