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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

Accessing the internet from Julia


Now that you have a good understanding of how web pages are accessed on the internet through client-server interactions, let's see how we can do this with Julia.

The most common web clients are the web browsers—apps such as Chrome or Firefox. However, these are meant to be used by human users, rendering web pages with fancy styled UIs and sophisticated interactions. Web scraping can be done manually through a web browser, it's true, but the most efficient and scalable way is through a fully automated, software-driven process. Although web browsers can be automated (with something like Selenium from https://www.seleniumhq.org), it's a more difficult, error-prone, and resource-intensive task. For most use cases, the preferred approach is to use a dedicated HTTP client.

Making requests with the HTTP package

Pkg, Julia's built-in package manager, provides access to the excellent HTTP package. It exposes a powerful functionality for building web clients and servers...

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