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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

Technical requirements


The Julia package ecosystem is under continuous development and new package versions are released on a daily basis. Most of the times this is great news, as new releases bring new features and bug fixes. However, since many of the packages are still in beta (version 0.x), any new release can introduce breaking changes. As a result, the code presented in the book can stop working. In order to ensure that your code will produce the same results as described in the book, it is recommended to use the same package versions. Here are the external packages used in this chapter and their specific versions:

CSV@v0.4.3
DataFrames@v0.15.2
Feather@v0.5.1
Gadfly@v1.0.1
IJulia@v1.14.1
JSON@v0.20.0
RDatasets@v0.6.1

In order to install a specific version of a package you need to run:

pkg> add PackageName@vX.Y.Z

For example:

pkg> add IJulia@v1.14.1

Alternatively you can install all the used packages by downloading the Project.toml file provided with the chapter and using pkg> instantiate...

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