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updating image in preface to match chapter numbers, minor changes to writing in setup chapter
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setup.Rmd

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## Overview
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Throughout this book, we have assumed that you are working on a web-based platform
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(e.g., JupyterHub) that already has Jupyter, R, a number of R packages, and Git set up and ready to use.
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Throughout this book, we have assumed that you are working on a web-based platform,
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such as JupyterHub, which already has Jupyter, R, several R packages, and Git set up and ready to use.
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In this chapter, you'll learn how to install all of that software on your own computer in case
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you don't have a preconfigured JupyterHub available to you.
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### Git
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As shown in the version control chapter, Git is a very useful tool for version
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controlling your projects, as well as sharing your work with others.
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As shown in Chapter \@ref(Getting-started-with-version-control), Git is a very useful tool for version
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controlling your projects, as well as sharing your work with others. Here's how to install Git on
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the following operating systems:
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**Windows:** To install
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Git on Windows, go to <https://git-scm.com/download/win> and download the Windows
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### Miniconda
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To run Jupyter notebooks on our computers, we will need to install a program
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similar to the one we used as our web-based platform. One such program is
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JupyterLab. But JupyterLab relies on Python; we can install this via
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To run Jupyter notebooks on our computers, we will need to install a program, such as the
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web-based platform JupyterLab. But JupyterLab relies on Python; we can install this via
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the [miniconda Python package distribution](https://docs.conda.io/en/latest/miniconda.html).
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**Windows:** To install miniconda on Windows, download
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To improve the experience of using R in JupyterLab, we will add an extension
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that allows us to setup keyboard shortcuts for inserting text.
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By default, this extension creates shortcuts for inserting two of the most common R
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operators: `<-` and `%>%`. Type the following in the Anaconda Prompt (Windows)
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operators: `<-` and `|>`. Type the following in the Anaconda Prompt (Windows)
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or terminal (MacOS and Ubuntu) and press enter:
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```

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