DDR - Dynamic MapReduce Framework

A flexible framework for distributed data processing using MapReduce patterns.

Installation

From PyPI (when published)

pip install dynamic_data_reduction

From source

git clone https://github.com/yourusername/dynamic_data_reduction.git
cd dynamic_data_reduction
pip install -e .

Usage

Basic usage

from dynamic_data_reduction import ddr

# Your code here

Coffea specialization

from dynamic_data_reduction import ddr_coffea

# Your Coffea-specific code here

Example usage

-- General use example: simple-example.py -- Coffea use in analysis: ddr_cortado.py

from dynamic_data_reduction import ddr_cortado

# Run the example

Development

To set up the development environment:

git clone https://github.com/yourusername/dynamic_data_reduction.git
cd dynamic_data_reduction
pip install -e ".[dev]"

License

This project is licensed under the MIT License - see the LICENSE file for details.