Tentacule is an uncomplicated library to deal with a pool of worker processes
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Updated
Oct 15, 2023 - Python
Tentacule is an uncomplicated library to deal with a pool of worker processes
Flask, Celery, Gunicorn and Docker App Template
Python bases event-based service example. Upload an image on S3 bucket and create thumbnail asynchronously with Redis event push.
This is a potential solution for handling multiple calls to a database. It makes use of asynchronous workers to keep the two databases (SQL and NoSQL) in sync while improving the response of the Service by using NoSQL Database for reading queries.
🦈 COE 332 Final project. REST API to get information about shark attacks as of February 11, 2021
Multi-threaded task runner in Python
A Complete, Highly Scalable and Powerful Chat Application facilitating messaging between individuals for seamless communication.
A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federated learning functionality instead of using traditional PyTorch features.
A flexible task dispatcher for Python with multiple threading or processing control
Asset Management for data and static resources
Lightweight workers and task management library for Python
Some learns about python
Python library for modern thread / multiprocessing pooling and task processing via asyncio
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