Machine Learning for HPC Workflows
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Updated
Jun 26, 2024 - Python
Machine Learning for HPC Workflows
An operator to manage celery clusters on Kubernetes (Work in Progress)
A Flask Boilerplate to quickly get started with production-grade flask application. It has some additional packages pre-configured for ease of development.
언제 어디서든, 내 손 안의 간편한 날씨☀️🌈
An example of running multiple celery with each other consecutively
This is a flask application through which you can hit rest api's that allow you to create and add tasks in queue that executes and returns result asynhronously.The application is run on a uWSGI server and requests are routed through an nginx reverse-proxy. Docker is used to containerise each service and they are managed with docker compose
How To Mock Celery Tasks With Pytest (Step-by-Step Guide with Examples)
The Celery connector for QueueKit.com
Web Scraper application using Django. Selenium is used to scrap the website. Scraping is done asynchronously using celery, celery-beat at a particular time intervals. Redis is used as a message broker.
This is FastApi app to generate thumbnail images using celery. You may replace thumbnail generator task with other long running process.
This is a simple celery basics python app for rabbitmq and redis queuing
Celery on Kubernetes
The Track and Trace page enables end users (receiver of a shipment) to monitor the status of their shipment.
Add a description, image, and links to the celery-workers topic page so that developers can more easily learn about it.
To associate your repository with the celery-workers topic, visit your repo's landing page and select "manage topics."