Celery is an open-source distributed task queue that helps you handle asynchronous tasks and job queues with ease. Designed for real-time processing, it integrates seamlessly with your Python applications to offload long-running or resource-intensive tasks. 🐍⚙️

• Asynchronous Task Execution: Run tasks in the background to improve application performance. 🚀
• Distributed Architecture: Scales easily across multiple workers and nodes. 🌐⚡
• Extensive Integration: Works with popular message brokers like RabbitMQ, Redis, and Amazon SQS. 📦💡
• Task Scheduling: Schedule periodic tasks with precision. ⏰📋
• Highly Configurable: Flexible configuration options for advanced use cases. ⚙️📜

• Python 3.7 or later 🐍
• A message broker such as Redis or RabbitMQ. 📦

1. Download Celery from the link below:
   • Download Celery 📥
2. Install Celery using pip:

   pip install celery

3. Set up your message broker (e.g., Redis or RabbitMQ).
4. Create a Celery application and define your tasks.
5. Start the worker and run your tasks asynchronously!