Pre-release
This release is a pre-release and may not be stable for production use.
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
1 maintainer
Metadata
1 maintainer
Release files for lpttools 0.1.4a2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lpttools-0.1.4a2.tar.gz | 47.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lpttools-0.1.4a2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 93.3 kB
Release files / lpttools-0.1.4a2.tar.gz
| Download URL | lpttools-0.1.4a2.tar.gz |
|---|---|
| Size | 47.9 kB |
| Tags | Source |
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Release files / lpttools-0.1.4a2-py3-none-any.whl
| Download URL | lpttools-0.1.4a2-py3-none-any.whl |
|---|---|
| Size | 45.4 kB |
| Tags | Python 3 |
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