These materials are used in NC State University Libraries' Data Science Services workshops covering practical data skills (Python, R, visualization, and analysis).

1. Click a workshop badge above to open in Colab.
2. Run the install cell when prompted (section below).
3. Runtime → Restart runtime.
4. Runtime → Run all. ✅

• 🧱 Basic Syntax and Operators — variables, types, lists, dicts, and more.
• 🔁 Control Flow and Functions — conditionals, loops, functions, and scope.

• Basic Syntax and Operators — Solutions

• Control Flow and Functions — Solutions

This folder contains Python/Jupyter equivalents of the R workshop notebooks. You can run them directly in Google Colab without installing anything locally.

1. Click a badge above to open directly in Colab.

Alternatively, in Colab: File → Open Notebook → GitHub tab → paste the repo URL https://github.com/NCSU-Libraries/intro-to-prog-r and select the notebooks in the repository root.

GET INSTRUCTIONS FOR ADDING GOOGLE DRIVE WHEN USING R INTERPRETER If you want to persist outputs or datasets:

from google.colab import drive
drive.mount('/content/drive')
# e.g., save under /content/drive/MyDrive/intro-to-prog-r/
# e.g., save under /content/drive/MyDrive/intro-to-prog-py/

After installs finish:

1. Runtime → Restart runtime (recommended) so freshly installed packages are active.
2. Runtime → Run all.

• If a package fails to install, re-run the install cell; transient network issues are common.
• For large installs, ensure you restarted the runtime before executing the rest of the notebook.
• If you see import errors, verify the requirements.txt URL matches the branch you want.