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-0.0.5a1.tar.gz (54.7 kB view details)

Uploaded Source

Built Distribution

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

lptlib-0.0.5a1-py3-none-any.whl (52.2 kB view details)

Uploaded Python 3

File details

Details for the file lptlib-0.0.5a1.tar.gz.

File metadata

  • Download URL: lptlib-0.0.5a1.tar.gz
  • Upload date:
  • Size: 54.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for lptlib-0.0.5a1.tar.gz
Algorithm Hash digest
SHA256 050bc5b97839bb16bd61be2f55c2ed35b0359755f7dfabb0f3db3d1dff8adb64
MD5 945e0d2ddb65d2e74615b81c5615fa6c
BLAKE2b-256 7fccb6aea3228348c8f4fef54700f9712e1bc368d88b9dbb881a97188223c277

See more details on using hashes here.

File details

Details for the file lptlib-0.0.5a1-py3-none-any.whl.

File metadata

  • Download URL: lptlib-0.0.5a1-py3-none-any.whl
  • Upload date:
  • Size: 52.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for lptlib-0.0.5a1-py3-none-any.whl
Algorithm Hash digest
SHA256 6ad5d1348ef29c2a4f97a0d21895367710d23203fdd80831a9c45a4847959b80
MD5 38fe226a968208ecba8ea34aaa88d243
BLAKE2b-256 f71eac19bb1c18ac72ba01bb237e49a1f975f377ac1d61391cf8c476396496d4

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