Software installation and configuration for new Data Science Master's students
You'll need to create up to multiple new passwords today. In order to ensure security for yourself, Vanderbilt systems, and for data you will be entrusted with when you take on projects, you'll want to have strong, unique passwords for each system. I suggest you use a password service. See https://www.pcmag.com/picks/the-best-password-managers for an overview of options.
If you do not already have a GitHub account, please visit https://github.com/ and make one. See https://happygitwithr.com/github-acct.html for advice.
Fill in the DSI Master Student Account Information Form and record your GitHub login.
You'll be invited to both the Vanderbilt Data Science organization (https://github.com/vanderbilt-data-science) and the Vanderbilt Data Science Master's Program organization (https://github.com/vanderbilt-data-science-masters-program).
First, fill out the DSI ACCRE User Request .
Then, visit the ACCRE page (https://dashboard.accre.vanderbilt.edu/) to register for an account.
Request an account by visiting the ACCRE New Account page (https://dashboard.accre.vanderbilt.edu).
- For Department, select
Data Science Institute. - For School or Affiliation, choose
Trans-Institutional Programs (e.g. Data Science Institute). - For Group, select
Data Science Institute (p_dsi). For primary application, chooseExisting application. - For application, select
Jupyter. - Enter that you anticipate running one job at a time.
- ndicate your level of Linux experience (if you're not already, you'll be Intermediate by the end of the semester, and Expert by the end of the Master's program!).
- You can enter
Pythonfor languages, and can leave the rest of the responses unfilled. - Answer the Captcha question at the end, and send.
We'll authorize your access as soon as possible.
Visit the ACCRE page (https://www.vanderbilt.edu//accre/) for more information about the cluster. We'll be arranging trainings for the class on using the cluster.
If you are running MacOS, you already have access to Linux on your machine. If you are running Windows, you can enable Windows Subsystem for Linux. Follow the instructions at https://docs.microsoft.com/en-us/windows/wsl/install-win10. To run PowerShell as administrator (the first step in the documentation), tap the Windows key, then type powershell. Select Run as Administrator to the right. Continue with the instructions.
Visit https://www.anaconda.com/distribution/ and click on Download. Select your operating system from the icons on the bar on the top of the page (the default is MacOS). Select the 64 bit Graphical Installer. Execute the software once it is downloaded.
Visit https://git-scm.com/downloads and select the download for your operating system. Once the software has downloaded, execute it.
See https://happygitwithr.com/install-git.html for step-by-step guidance.
Set up your profile for your local git by following the directions at https://happygitwithr.com/hello-git.html.
You will need a ChatPlus (paid) subscription to OpenAI. This will be the equivalent of a textbook for many or your courses. Go to the OpenAI main page.
- Select Sign Up in the upper right corner.
- Put in your Vanderbilt address, select continue.
- Choose a secure password.
- Enter in your payment information
You will need to have access to multiple AI systems. To access the Microsoft version of GPT4, BingGPT, you'll need to download the Microsoft Edge browser, then sign up for Bing.
Vanderbilt University has a site license for TopHat (https://www.vanderbilt.edu/tophat/). Take a few minutes and set up a student account.
The printer in the DSI common area is available for your use. It is \print.it.vanderbilt.edu\DSI_Engineering_300.
To add the printer on a Mac, follow these directions.
To add a printer on a Windows machine, follow these [directions]https://github.com/vanderbilt-data-science/setup/blob/master/dsi_printer_setup_windows.md).
Take a walk and learn about the home of the Data Science Institute!
You should have received an invitation to join our Slack team, https://vandydatasciencems.slack.com. If you've note alread done so, downloading the Slack phone app lets you keep up-to-date: https://slack.com/downloads/ios or https://slack.com/downloads/android. You can set your notifications by mention, or by any activity in a particular channel.
Be sure that you're also in the Data Science TIP Slack organization which is our main Slack org for data science work: https://datasciencetip.slack.com/ .
As a DSI student, you have free access to the coffee machine in the common kitchen area. It is a Jura Impressa S9, and the operating manual is here https://us.jura.com/en/homeproducts/machines/IMPRESSA-S9-Classic-UL-13674/Manuals.
The coffee maker can make extra hot water to make tea! The control is on the right-hand side--be sure to set it for exra-hot.
Download and install R from RStudio's CRAN mirror (https://cran.rstudio.com/). Follow the link for your operating system, and select the latest Base release, which will be 4.2.1 or greater. Once the file is downloaded, install the software.
Also download and install Rtools if you are on Windows--you will find the link below Base on the list.
Download RStudio from the RStudio site (https://www.rstudio.com/products/rstudio/download/#download). Select your operating system, and install the software after download is complete. For Windows, select RStudio RStudio-2022.07.1-554.exe. For Mac, select RStudio-2022.07.1-554.dmg.
If you are running Windows, install Rtools so that you can compile the necessary packages as needed. Go to https://cran.r-project.org/bin/windows/Rtools/ and download the 64 bit version. Click on the file after it downloads to install. When you are finished, copy the code below and paste it into the Console of RStudio.
install.packages("tidyverse")
install.packages("tidymodels")
install.packages("janitor")
install.packages("devtools")
install.packages("assertr")
install.packages("Hmisc")New installations of git on MacOS and Windows SHOULD make use of built-in authentication so that you will not need to log into GitHub each time you perform an operation on a remote repo. It you find yourself having to sign in to GitHub when pushing or pulling, follow the guidelines at https://happygitwithr.com/connect-intro.html to set up caching or SSH keys.
If you are on a Mac, and are not able to access git from RStudio, execute the following commands from with a terminal window:
xcode-select --install
sudo xcode-select -switch /Library/Developer/CommandLineTools
To test out whether RStudio is integrated with git on your computer, we will clone the repository locally to your computer.
Click on the green "Code" button on this page, and copy the web URL listed there. Start up RStudio, click on 'File' on the menu, select 'New Project', the click on 'Version Control', 'Git', and paste the URL into the Repository URL field. If this repo is downloaded as an R project, your integration has worked. If not, e-mail us to let us know (go ahead and e-mail jesse.spencer-smith@vanderbilt.edu, and we'll get you sorted out).