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-0.0.2a2.tar.gz (50.2 kB view details)

Uploaded Source

Built Distribution

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

lptlib-0.0.2a2-py3-none-any.whl (48.1 kB view details)

Uploaded Python 3

File details

Details for the file lptlib-0.0.2a2.tar.gz.

File metadata

  • Download URL: lptlib-0.0.2a2.tar.gz
  • Upload date:
  • Size: 50.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for lptlib-0.0.2a2.tar.gz
Algorithm Hash digest
SHA256 a6b8a4e556af10ab6590c4ac5ed656ab3cba4eb228bde8fd6c1cb936fad42e42
MD5 ebdd6d9576944d358ad4654528d55c43
BLAKE2b-256 f596f424d8d3eaddb87ad3e2565b4fedf43aa2c6bab0b45f5f52a178ed56afc6

See more details on using hashes here.

File details

Details for the file lptlib-0.0.2a2-py3-none-any.whl.

File metadata

  • Download URL: lptlib-0.0.2a2-py3-none-any.whl
  • Upload date:
  • Size: 48.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for lptlib-0.0.2a2-py3-none-any.whl
Algorithm Hash digest
SHA256 658d3a781d5bb526d08121f08092abd6bf3d302f71aa1a49f78d197b1513b608
MD5 5475680dc36b65dbc843b867b43f348c
BLAKE2b-256 ef3b1e155939f278295a8bbb6fb67fa32dd2ac00b98a8ae68096ef58ffe3ac66

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