Each table has a number of columns and rows. The columns are named. Indices are data structures formed on tables to speed up different types of queries. Consider the Signatures table. Both hold integer data. Selecting things To learn more about tables we will want to see their contents.
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Packages are collections of files that are bundled together that can be installed and removed as a group. A package manager is a tool which automates the process of installing, updating, and removing packages. If you are a Python user, you may have used the package manager pip or the package manager functionality of conda to install, update, or remove packages. If you are an R user, you may have used the RStudio Package Manager to install, update, or remove packages.
Homebrew is a package manager designed for Mac that is useful to install. 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 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.
Open a new terminal. 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 no output, proceed to step 3. 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. 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. After you enter your password, the installation will start. You can substitute wget for the package you want to install.
You can substitute wget for the package you want to uninstall. The image below shows the output of using brew search. A 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.
It might be be helpful to get more information on apache-spark which is where the command brew info comes in handy. Get Information on a Package 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. The next section goes into more detail on how to install Apache Spark. Integration with Other Technologies You will often find that Homebrew can be used to assist you in working with other technologies. This section includes two examples on how to use Homebrew for data science: How to install Apache Spark using Homebrew How to utilize Homebrew to help visualize decision trees.
Apache Spark is not the easiest to install, but Homebrew makes it easier. The steps below go over how to install Apache Spark using Homebrew. Look to see if there is a Apache Spark package on Homebrew using the command below. Look for more information about the apache-spark to see if you have all the necessary dependencies. You can type the command below to see if you have Java.
It is important to note that if you have an older version of Java, you will need to upgrade. Cask is an extension to brew that allows management of graphical applications through the Cask project.
Use the command below to install apache-spark. You can now open PySpark with the command below. You can close pyspark with exit. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks.
In data science, one use of Graphviz is to visualize decision trees you can learn about decision trees here. You can install GraphViz by using the command below. You can more easily interpret a decision tree by viewing it.
This is where Graphviz comes in. In a terminal, you can type the command below to convert decisionTree. It is imporantant to note that sometimes package manager functionalities overlap. For example, it is also possible to install Graphviz through the package manager functionality of conda if you have Anaconda installed by using the command below. I hope you find this tutorial useful when you want to install Apache Spark or Graphviz. Homebrew has a wonderful website that you can look at for further commands.
If you any questions or thoughts on the tutorial, feel free to reach out in the comments below or through Twitter.
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