Merge pull request JuliaLang#27 from SaschaMann/smann/documentation

RFC: Add track documentation

docs/ABOUT.md

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+Julia is an open-source high-level, high-performance dynamic programming language designed for technical and scientific computing while also being effective for general-purpose tasks. It is convenient to use for daily work but also runs fast enough to be deployed for high-performance applications.
+
+Interesting features include:
+- Large parts of [Julia's base library](https://github.com/julialang/julia) are written in Julia itself. Understanding and contributing to the Julia core does not require knowledge of another language.
+- Easy to use interfaces to call libraries written in other languages, such as [C, Fortran](http://docs.julialang.org/en/stable/manual/calling-c-and-fortran-code/) and [Python](https://github.com/JuliaPy/PyCall.jl), directly.
+- [Multiple dispatch](http://docs.julialang.org/en/stable/manual/methods/#man-methods)
+- A dynamic, nominative and parametric [type system](http://docs.julialang.org/en/stable/manual/types/).
+- Homoiconicity: Julia code can be represented in Julia itself, making it a good language to learn about [metaprogramming](http://docs.julialang.org/en/stable/manual/metaprogramming/).
+
+The first public release was in 2012. You can find out more about the motivation behind it in the blog post ["Why We Created Julia"](http://julialang.org/blog/2012/02/why-we-created-julia) by the core developers.
+
+Despite its young age, Julia is already being used in the real world in a variety of fields, such as but not limited to Finance, Data Science and Scientific Computing. You can find many showcase applications on [juliabloggers.com](http://www.juliabloggers.com/) and a list of publications about the language and its technical computing applications [here](http://julialang.org/publications/).

docs/INSTALLATION.md

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 To install Julia on your system follow the instructions on the [Julia Language Downloads page](http://julialang.org/downloads/).
 
+[JuliaPro](http://juliacomputing.com/products/juliapro.html) includes the latest stable version of Julia, the Juno IDE, a debugger, a Jupyter notebook environment and many of the most popular Julia packages. It is a convenient way to install everything you will need to get started.
+
 For a local installation, it is recommended to use [Juno](http://junolab.org/). It's an IDE based on Atom and offers a powerful text editor as well as additional features for developing in Julia. Just follow the instructions on their website.
 
 A simple way to get started with Julia without the need of a local installation is [JuliaBox](http://junolab.org/), which is an online IDE based on Jupyter notebooks. You just access it from your browser, login and you can start solving exercises.

docs/RESOURCES.md

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+- [Julia Style Guide](docs.julialang.org/en/stable/manual/style-guide/): Guide on how to write idiomatic Julia code.
+- [Performance Tips](http://docs.julialang.org/en/stable/manual/performance-tips/): Techniques to speed up your programs.
+- [Julia Manual](http://docs.julialang.org/en/stable/manual/introduction/): Additional explanations and examples.
+- [juliabloggers.com](http://www.juliabloggers.com/): Aggregator of Julia blog posts.
+- [Julia Discourse](https://discourse.julialang.org/): Discussions about the language.
+- [Julia YouTube channel](https://www.youtube.com/user/JuliaLanguage): Archive of JuliaCon talks.