Metadata-Version: 2.1
Name: project-arrakis
Version: 0.1.2
Summary: One-way coupled Lagrangian Particle Tracking for CFD simulations. Includes many auxiliary tools.
Author-email: Dilip Kalagotla <dilipkalagotla@gmail.com>
Project-URL: homepage, https://github.com/kalagotla/project-arrakis
Project-URL: issues, https://github.com/kalagotla/project-arrakis/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE

# project-arrakis

Python based particle tracking algorithms for CFD data

A highly parallelized set of Lagrangian particle tracking (LPT) algorithms based on Python to post-process steady and unsteady CFD data. An advanced programming interface (API) is developed for uncertainty quantification of optical velocimetry data.

# Installation:
Run the following command in the terminal to install the package:
```pip install project-arrakis```

### LPT Algorithms:

A sample code to start off is presented in main.py
