pandas_tutor

takes pandas code and outputs json

Development Setup

This project uses uv for fast Python package management and virtual environments.

Prerequisites

1. Install uv if you haven't already:

   curl -LsSf https://astral.sh/uv/install.sh | sh

Quick Setup

Run the setup script:

./setup_env.sh

Manual Setup

1. Sync dependencies (creates virtual environment automatically):

   uv sync --extra dev

2. Activate the virtual environment:

   source .venv/bin/activate

   Or for fish shell:

   source .venv/bin/activate.fish

Available Dependencies

• Development: uv sync --extra dev - includes all development tools (black, mypy, testing, etc.)
• CI: uv sync --extra ci - minimal dependencies for continuous integration
• Base: uv sync - only the core dependencies

Lock File

The uv.lock file ensures reproducible builds across different environments. It's automatically created and maintained by uv sync.

Running Tests

# Activate the environment first
source .venv/bin/activate

# Run tests
python -m pytest pandas_tutor/tests/