You will find that you can utilize Homebrew for data science as it makes it a lot easier to install additional technologies on Mac such as Apache Spark and the software Graphviz. In order to install Homebrew, you need to install either the Xcode Command Line Tools (about 100 MB) or the full Xcode package (about 10 GB). In this tutorial, you will install Command Line Tools as they are a more reasonable size. Command Line Tools gives Mac users many commonly used tools, utilities, and compilers. One advantage of this is that when you install Command Line Tools, it installs Git which you need as Homebrew is essentially all Git and Ruby scripts underneath.ġ. You can do this by clicking on the Spotlight magnifying glass at the top right of the screen, type terminal and then click on the Terminal icon. You can check if Command Line Tools or Xcode is installed by typing the command below in your terminal. If you see a path output like in the image above, please skip to the "Install Homebrew" section of the tutorial. You already have Xcode or Xcode Command Line Tools installed.Ģ. Type the following into your terminal to install Command Line Tools. If you see a prompt like the one in the image below, click on Install. If a License Agreement appears, please read it and then click Agree.ģ. Check again to see if Xcode Command Line Tools is installed. You can do this by opening a new terminal and typing in the command below. Open a terminal and type the command below. You’ll be prompted to give your password, which is usually the one that you also use to unlock your Mac when you start it up. After you enter your password, the installation will start. The command below installs the package wget. You can substitute wget for the package you want to install. The command below uninstalls the package wget. You can substitute wget for the package you want to uninstall. brew rm wgetīrew search lists all the possible packages that you can install. The image below shows the output of using brew search.Ī more practical usage of the brew search command is to use a more refined query. For example, if you are are interested in installing Apache Spark, you can use the command below to see if there is a Apache Spark package to install. brew search sparkįrom the image above, there is a potential Apache Spark package called apache-spark that might be useful to install. It might be be helpful to get more information on apache-spark which is where the command brew info comes in handy. The command brew info is really useful to get more information on a package and to see the requirements of a package. The command below gets more information on the package apache-spark. Notice that it lists that this package requires java version 1.8 and gives couple links to places where you can get more information on the specific package. The next section goes into more detail on how to install Apache Spark. How to utilize Homebrew to help visualize decision trees.How to install Apache Spark using Homebrew.This section includes two examples on how to use Homebrew for data science: You will often find that Homebrew can be used to assist you in working with other technologies. Homebrew can be used to install other technologies like Apache Spark. Apache Spark is not the easiest to install, but Homebrew makes it easier. If the number of days is not provided, then it will clear caches of the previous 14 days.Ĭommand s can be used to clean the latest formula.The steps below go over how to install Apache Spark using Homebrew.ġ. If you want to delete those too: rm -rf $(brew -cache)Ĭommand -prune=days can clear caches of some days N earlier. Note downloads for any installed formulae will still not be deleted. If -s is passed, scrub the cache, removing downloads for even the latest versions of formulae. If -dry-run or -n is passed, show what would be removed, but do not actually remove anything. If -prune=days is specified, remove all cache files older than days. In addition, old downloads from the Homebrew download-cache are deleted. $ brew cleanup -hīrew cleanup :įor all installed or specific formulae, remove any older versions from the cellar. Let’s look at sample instructions: # remove a formula Brew cleanup frees up space in macOS and Linux devices by removing old versions of formulae and small kegs of data (about 20-80 MB each).
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