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(fork) My work on the book "Julia Programming Projects"
https://github.com/seasawher/julia-programming-projects

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(fork) My work on the book "Julia Programming Projects"

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# Julia Programming Projects

Julia Programming Projects

This is the code repository for [Julia Programming Projects](https://www.packtpub.com/big-data-and-business-intelligence/julia-programming-projects?utm_source=github&utm_medium=repository&utm_campaign=9781788292740 ), published by Packt.

**Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web **

## What is this book about?
Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing.

This book covers the following exciting features:
* Leverage Julia's strengths, its top packages, and main IDE options
* Analyze and manipulate datasets using Julia and DataFrames
* Write complex code while building real-life Julia applications
* Develop and run a web app using Julia and the HTTP package
* Build a recommender system using supervised machine learning
* Perform exploratory data analysis
* Apply unsupervised machine learning algorithms
* Perform time series data analysis, visualization, and forecasting

If you feel this book is for you, get your [copy](https://www.amazon.com/dp/178829274X) today!

https://www.packtpub.com/

## Instructions and Navigations
All of the code is organized into folders. For example, Chapter02.

The code will look like the following:
```
function articleinfo(content)
dom = articledom(content)
(extractcontent(dom.root), extractlinks(dom.root), extracttitle(dom.root), extractimage(dom.root))
end
```

**Following is what you need for this book:**
Data scientists, statisticians, business analysts, and developers who are interested in learning how to use Julia to crunch numbers, analyze data and build apps will find this book useful. A basic knowledge of programming is assumed.

With the following software and hardware list you can run all code files present in the book (Chapter 1-11).
### Software and Hardware List
| Chapter | Software required | OS required |
| -------- | ------------------------------------ | -----------------------------------|
| 1-11 | Julia | Windows, Mac OS X, and Linux (Any) |

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](https://www.packtpub.com/sites/default/files/downloads/9781788292740_ColorImages.pdf?).

### Related products
* Julia 1.0 Programming Cookbook [[Packt]](https://www.packtpub.com/application-development/julia-10-programming-cookbook?utm_source=github&utm_medium=repository&utm_campaign=9781788998369 ) [[Amazon]](https://www.amazon.com/dp/1788998367)

* Julia 1.0 Programming - Second Edition [[Packt]](https://www.packtpub.com/application-development/julia-10-programming-second-edition?utm_source=github&utm_medium=repository&utm_campaign=9781788999090 ) [[Amazon]](https://www.amazon.com/dp/1788999096)

## Get to Know the Author
**Adrian Salceanu**
has been a professional software developer for over 15 years. For the last 10, he's been leading agile teams in developing real-time, data-intensive web and mobile products. Adrian is a public speaker and an enthusiastic contributor to the open source community, focusing on high-performance web development. He's the organizer of the Barcelona Julia Users group and the creator of Genie, a high-performance, highly productive Julia web framework. Adrian has a Master's degree in computing and a postgraduate degree in advanced computer science.

### Suggestions and Feedback
[Click here](https://docs.google.com/forms/d/e/1FAIpQLSdy7dATC6QmEL81FIUuymZ0Wy9vH1jHkvpY57OiMeKGqib_Ow/viewform) if you have any feedback or suggestions.

### Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781788292740