Skip to content

NCSU-Libraries/ai-workshops

Repository files navigation

NC State University Libraries Logo

NC State University Libraries AI Workshops

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

Colab and Chill: A Vibe Coding Approach to Exploratory Data Analysis using AI

Student Template

Open In Colab

workshops/colab-and-chill/colab-and-chill.ipynb - Interactive workshop notebook with:

  • guided activities
  • accessible notebook structure
  • prompt-writing practice
  • hands-on Google Colab workflow

Solutions Notebook

Open In Colab

workshops/colab-and-chill/colab-and-chill-solutions.ipynb - Reference notebook with:

  • completed examples
  • worked-through prompts and outputs
  • full solution cells

Overview

Join us for a relaxed, hands-on session where we bring the "vibe coding" philosophy to data science.

In Colab and Chill, we ditch the stress of perfect syntax and focus on the high-level "vibe" of your analysis using Google Colab's built-in AI tools. Whether you are a coding novice or a seasoned researcher, this workshop will guide you through the rapidly evolving AI landscape, helping you distinguish between tools that "know" and tools that "do".

You will learn to use the PARTS framework to support exploratory data analysis, generate inspectable code, and refine your workflow through iteration. This workshop incorporates hands-on work, and there will be plenty of time for questions. No software installation is needed.

Learning Objectives

By the end of this workshop, participants will be able to:

  • Navigate the AI landscape: Differentiate between "Knower" tools and "Doer" tools to choose the right AI assistant for each stage of work.
  • Engineer effective prompts: Apply the PARTS framework: Persona, Aim, Recipients, Theme, Structure.
  • Perform AI-assisted EDA: Use Google Colab's integrated AI features to explore data through code generation, summaries, and visualizations.
  • Mitigate hallucinations: Ask AI to write code rather than perform unsupported reasoning so results are more reproducible and verifiable.

Quick Start

Option 1: Open in Google Colab

Click one of the "Open in Colab" badges above to run the workshop directly in your browser.

Option 2: Run locally

  1. Clone this repository:
    git clone https://github.com/NCSU-Libraries/ai-workshops.git
    cd ai-workshops
  2. Install required packages:
    pip install -r requirements.txt
  3. Launch Jupyter:
    jupyter notebook workshops/colab-and-chill/colab-and-chill.ipynb

Workshop Details

Using Colab

  • Open the notebook in Colab and use "Copy to Drive" if you want to save changes.
  • Run cells from top to bottom.
  • Follow the prompts and exercises in order.
  • Use the solutions notebook after attempting the learner notebook yourself.

Troubleshooting

  • If a notebook opens read-only, use "Copy to Drive" before editing.
  • If a browser extension blocks some Colab UI, try a private or incognito window.
  • Prefer a local environment? See LOCAL.md.

Releases

No releases published

Packages

 
 
 

Contributors

Languages