GeezerVison

By Tim Hopper: tdhopper.com

Available at pythonplot.com

The site is generated from plots in the Examples.ipynb Python 3, Jupyter notebook.

Requirements:

• Python 3.11+
• R 4.0+ (install via Homebrew on macOS: brew install r, or from CRAN)
• uv for Python package management

Quick Start:

# Set up development environment (installs Python & R dependencies)
make dev_environment

# Or manually:
# 1. Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh

# 2. Install Python dependencies
uv pip install -r requirements.txt

# 3. Install R packages
./setup_r.sh

Each plot in the notebook is tagged with metadata using Jupyter cell tags. You can view the cell tags in your notebook with View > Cell Toolbar > Tags.

The tags look like this:

ex
name:scatter-with-regression
package:ggplot

If you are using Jupyter lab, these are available through the Cell Tools left sidebar menu:

{
    "tags": [
        "ex",
        "name:scatter-with-regression",
        "package:ggplot"
    ]
}

ex identifies the cell as an example. The name tag corresponds to an item in the names dictionary in render.py. The package tag corresponds to a package in the packages dict in render.py.

The site layout current allows for ~46 characters in the code window. Please keep this in mind and wrap your code to avoid too much side scrolling.

At the moment, the code must return a png image into the output cell. With modern versions of plotly (v5+), images are rendered locally using Kaleido - no authentication required.

A Markdown comment can be added within triple quotes on the first line of the cell. (This currently doesn't work for R cells.)

# Quick render (uses existing notebook without re-execution)
make qrender

# Full build (executes notebook, then renders)
make render

# Run tests
make test

After rendering, launch a local server from the web directory:

cd web && python -m http.server

The project uses GitHub Actions for continuous integration and deployment:

• Pushes to master: Deployed to production on the Cloudflare Pages project pythonplot
• Other branches: Create preview deployments on Cloudflare Pages
• Requires secrets: CLOUDFLARE_API_TOKEN and CLOUDFLARE_ACCOUNT_ID