Skip to content

README.md

Latest commit

 

History

History
97 lines (62 loc) · 5.38 KB

README.md

File metadata and controls

97 lines (62 loc) · 5.38 KB

NC State University Libraries Logo

NC State University Libraries Python Workshops

NC State Libraries Workshops Data Science Services GetDataHelp Email: getdatahelp@ncsu.edu Deploy slides to GitHub Pages

Getting Started with Python

Fundamentals Open in Colab — Fundamentals

Loops and Functions Open in Colab — Loops and Functions

Exploratory Data Analysis Open in Colab — Exploratory Data Analysis

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

🚀 Quick start

  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. ✅

📘 Included notebooks

  • 🧱 Fundamentals — variables, types, lists, dicts, and more.
  • 🔁 Loops and Functions — conditionals, loops, functions, and scope.
  • 🔎 Exploratory Data Analysis (Polars) — data loading, summaries, and plots.

🧩 Solutions

  • Fundamentals — Solutions Open in Colab — Solutions: Fundamentals

  • Loops and Functions — Solutions Open in Colab — Solutions: Loops and Functions

  • Exploratory Data Analysis — Solutions Open in Colab — Solutions: Exploratory Data Analysis

💻 Use on Google Colab

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

🔗 Open in Colab

  1. Click a badge above to open directly in Colab.
  2. Prefer to run locally? See the LOCAL.md guide.

Alternatively, in Colab: File → Open Notebook → GitHub tab → paste the repo URL https://github.com/NCSU-Libraries/getting-started-with-python and select the notebooks in the repository root.

📦 Install dependencies

Run the following cell at the top of each notebook to install exact dependencies compatible with Colab.

!pip -q install -r https://raw.githubusercontent.com/NCSU-Libraries/getting-started-with-python/main/requirements.txt

Notes:

  • Colab already includes many scientific packages; installing ensures versions match the notebooks.
  • If you fork, adjust the URL above to point to your fork/branch.

💾 Save outputs to Google Drive (optional)

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/

▶️ Run the notebooks

After installs finish:

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

🛠️ Troubleshooting

  • 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.