Anaconda For Mac Install

R is a programming language. To use R, we need to install an Integrated Development Environment (IDE). Rstudio is the Best IDE available as it is user-friendly, open-source and is part of the Anaconda platform.

In this tutorial, we will learn

Install Anaconda

The Anaconda parcel provides a static installation of Anaconda, based on Python 2.7, that can be used with Python and PySpark jobs on the cluster. Troubleshooting If you experience errors during the installation process, review our Troubleshooting topics.

What is Anaconda?

Anaconda free open source is distributing both Python and R programming language. Anaconda is widely used in the scientific community and data scientist to carry out Machine Learning project or data analysis.

Why use Anaconda?

Anaconda will help you to manage all the libraries required for Python, or R. Anaconda will install all the required libraries and IDE into one single folder to simplify package management. Otherwise, you would need to install them separately.

Mac User

Step 1) Go to https://www.anaconda.com/download/ and Download Anaconda for Python 3.6 for your OS.

By default, Chrome selects the downloading page of your system. In this tutorial, installation is done for Mac. If you run on Windows or Linux, download Anaconda 5.1 for Windows installer or Anaconda 5.1 for Linux installer.

Step 2) You are now ready to install Anaconda. Double-click on the downloaded file to begin the installation. It is .dmg for mac and .exe for windows.You will be asked to confirm the installation. Click Continue button.

You are redirected to the Anaconda3 Installer.

Step 3) Next window displays the ReadMe. After you are done reading the document, click Continue

Step 4) This window shows the Anaconda End User License Agreement. Click Continue to agree.

Step 5) You are prompted to agree, click Agree to go to the next step.

Step 6) Click Change Install Location to set the location of Anaconda. By default, Anaconda is installed in the user environment: Users/YOURNAME/.

Select the destination by clicking on Install for me only. It means Anaconda will be accessible only to this user.

Step 7) You can install Anaconda now. Click Install to proceed. Anaconda takes around 2.5 GB on your hard drive.

A message box is prompt. You need to confirm by typing your password. Hit Install Software

The installation may take sometimes. It depends on your machine.

Step 8) Anaconda asks you if you want to install Microsoft VSCode. You can ignore it and hit Continue

Step 9) The installation is completed. You can close the window.

You are asked if you want to move 'Anaconda3' installer to the Trash. Click Move to Trash

You are done with the installation of Anaconda on a macOS system

Windows User

Step 1) Open the downloaded exe and click Next

Step 2) Accept the License Agreement

Step 3) Select Just Me and click Next

Step 4) Select Destination Folder and Click Next

Step 5) Click Install in next Screen

Step 6) Installation will begin

Once done, Anaconda will be installed.

Install R

Mac users

Step 1) Anaconda uses the terminal to install libraries. The terminal is a quick way to install libraries. We need to be sure to point the installation toward the right path. In our case, we set the location of Anaconda to the Users/USERNAME/. We can confirm this by checking anaconda3 folder.

Open Computer and select Users, USERNAME and anaconda3. It confirms that we installed Anaconda on the right path. Now, let's see how macOS write the path. Right-click, and then Get Info

Select the path Where and click Copy

Step 2) For Mac user:

• The shortest way is to use the Spotlight Search and write terminal.

The terminal sets the default working directory to Users/USERNAME. As you can see in the figure below, the path of anaconda3 and the working directory are identical. In macOS, the latest folder is shown before the $. For me, it is Thomas. The terminal will install all the libraries in this working directory.

If the path on the text editor does not match the working directory, you can change it by writing cd PATH in the terminal. PATH is the path you pasted in the text editor. Don't forget to wrap the PATH with 'PATH'. This action will change the working directory to PATH.

Step 4) We are ready to install R. I recommend you to install all packages and dependencies with the conda command in the terminal.

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r-essentials means conda will install R and all the necessary libraries used by data scientist.

Conda is downloading the libraries

It takes some time to upload all the libraries. Be patient..you are all set.

In the terminal, you should see Executing transaction: done. If so, you have successfully installed R.

You can check where R is located.

Windows User

Step 1) Open the Anaconda command prompt

Step 2) In the command prompt

1. Enter the R install command
2. Environment will be determined
3. List of packages to be installed will be listed

Step 3) Enter y and hit the return key to start installation

Step 4) Installation will take time, and you will get done message.

Install Rstudio

Mac User

In the terminal, write the following code:

In the terminal, you should see Executing transaction: done. If so, you have successfully installed Rstudio.

You are all set now, congratulation!

Windows User

Step 1) Enter command to install R Studio in the Anaconda prompt

Step 2) You will be shown a list of packages that will be installed. Enter y

Step 3) R Studio will be installed

Warning

Avoid as much as you can to install a library using pip for Python, and R. Conda libraries gather a lot of packages, you don't need to install libraries outside of conda environment.

Run Rstudio

Directly run the command line from the terminal to open Rstudio. You open the terminal and write rstudio. You can also use Desktop Shortcut

Or

A new window will be opened with Rstudio.

Test

Open Rstudio from the terminal and open a script. Write the following command:

1. ## In Rstudio summary(cars)
2. Click Run
3. Check Output

If you can see the summary statistics, it works. You can close Rstudio without saving the files.

Install package

Install package with anaconda is trivial. You go to your favorite browser, type the name of the library followed by anaconda r.

You choose the link that points to anaconda. You copy and paste the library into the terminal.

For instance, we need to install randomForest for the tutorial on random forest; we go https://anaconda.org/r/r-randomforest.

Run conda install -c r r-randomforest --yes from the terminal.

The installation is completed.

Note that Thorough this tutorial, you won't need to install many libraries as the most used libraries came with the r-essential conda library. It includes ggplot for the graph and caret for the machine learning project.

Open a library

To run the R function randomForest(), we need to open the library containing the function. In the Rstudio script, we can write library(randomForest)

Warning: Avoid as much as possible to open unnecessary packages. You might ended up creating conflicts between libraries.

Run R code

We have two ways to run codes in R

1. We can run the codes inside the Console. Our data will be stored in the Global Environment but no history is recorded. We won't be able to replicate the results once R is closed. We need to write the codes all over again. This method is not recommended if we want to replicate our save our codes

2. Write the code in the script. We can write as many lines of codes as we want. To run the code, we simple select the rows we want to return. Finally, click on run. We can see the output in the Console. We can save our script and open it later. Our results won't we lost.

Warning: In we point the cursor at the second row (i.e., slice_vector[1:5]), the Console displays an error. That's, we didn't run the line number 1.

Similarly, if we point the cursor to an empty row and click on run, R return an empty output.

Whether you’re a big, small or medium enterprise, Anaconda will support your organization. As a free and open-source distribution of Python and R programming language, it’s aim is to easily scale a single user on one laptop to thousands of machines. If you’re looking for a hassle-free data science platform, this is the one for you.

Extensive packages

Anaconda is leading the way for innovative data science platforms for enterprises of all sizes.

Anaconda provides you with more than 1,500 packages in its distribution. In it you will find the Anaconda navigator (a graphical alternative to command line interface), Conda package, virtual environment manager, and GUI. What makes Conda different from other PIP package managers is how package dependencies are managed. PIP installs Python package dependencies, even if they’re in conflict with other packages you’ve already installed. So, for example, a program can suddenly stop working when you’re installing a different package with a different version of the NumPy library. Everything will appear to work but, you data will produce different results because you didn’t install PIP in the same order. This is where Conda comes in. It analyzes your current environment and installations. This includes version limitations, dependencies, and incompatibility. As an open source package, it can be individually installed from the Anaconda repository, Anaconda Cloud or even the conda install command.
You can even create and share custom packages using the conda build command. The developers will then compile and build all the packages in the Anaconda repository, providing binaries for Windows, Linux and MacOS. Basically, you won’t worry about installing anything because Conda knows everything that’s been installed in your computer.

Extend your reach with Anaconda Navigator

The built in graphical user interface or GUI allows you to launch applications while managing Conda packages, environments and channels. This means the GUI will complete the process of installing packages without asking for a command-line command. It even includes these applications by default: JupyterLab & Jupyter Notebook / QtConsole / Spyder / Glueviz / Orange / RStudio / Visual Studio Code.

Where can you run this program?

Anaconda 2019.07 has these system requirements:

- Operating system: Windows 7 or newer, 64-bit macOS 10.10+, or Linux, including Ubuntu, RedHat, CentOS 6+.
- System architecture: Windows- 64-bit x86, 32-bit x86; MacOS- 64-bit x86; Linux- 64-bit x86, 64-bit Power8/Power9.
- 5 GB disk space or more.

Anaconda developers recommends you to install Anaconda for the local user so you won’t need administrator permissions. Or, you can opt to install Anaconda system wide, which does require administrator permissions.

Is there a better alternative?

If you’re looking for simple Python-dedicated environment, then you need PyCharm. Targeted specifically for Python programmers, this integrated development environment is filled with programming tools that can impress both new and experienced developers. It provides all the tools in a centralized system so you can increase your efficiency and effectiveness. Features like code analysis, graphical debugger, and unit tester helps you integrate Python programs with version control systems. In fact, every single output you make will be capable of web development from different web frameworks like Django, web2py, and Flask. It offers automated tools like code refactorings, PEP8 checks, and testing assistance to create your code, but what stands out the most is Smart Assistance. It fixes any of your errors or complete portions of your code. With PyCharm, you can expect a neat and maintainable code.

Our take

Anaconda’s host of innovative options makes it the best data science platform for all enterprises. By offering superior collaboration tools, scalability, and security, you never have to worry about gathering big data again.

Should you download it?

If you have experience with other package management and deployment programs, then make the big switch by downloading Anaconda.

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