Skip to main content

One-way coupled Lagrangian Particle Tracking algorithms.

Project description

lptlib (Lagrangian Particle Tracking Library)

Previously 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 lptlib

LPT Algorithms:

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lptlib-0.0.3a1.tar.gz (52.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lptlib-0.0.3a1-py3-none-any.whl (50.1 kB view details)

Uploaded Python 3

File details

Details for the file lptlib-0.0.3a1.tar.gz.

File metadata

  • Download URL: lptlib-0.0.3a1.tar.gz
  • Upload date:
  • Size: 52.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for lptlib-0.0.3a1.tar.gz
Algorithm Hash digest
SHA256 f5dff918e5f0e1dafb7c0ddb69229846dd6798c99ee4063f0bbda870372a144b
MD5 5df6036ba126ea833b7767ccf5bd0284
BLAKE2b-256 a25c725166a3bb486c0773df04edd8fdfbef30ce23fbac57c9cff96ca2379631

See more details on using hashes here.

File details

Details for the file lptlib-0.0.3a1-py3-none-any.whl.

File metadata

  • Download URL: lptlib-0.0.3a1-py3-none-any.whl
  • Upload date:
  • Size: 50.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for lptlib-0.0.3a1-py3-none-any.whl
Algorithm Hash digest
SHA256 1330f7ea9aca3aaece3423581cc7a538e6012488bb7aebc1a8ac49068e681e2b
MD5 b425eb39a9231f31a99a132e8b66d792
BLAKE2b-256 7e28852cc9af47513f50e7ef5940a6a7075fd8f811a8596e53ccb944ccc6d618

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page