python celery tutorial

celery is a distributed task queue framework for python that allows you to distribute the execution of tasks across multiple workers or machines. it's widely used for handling asynchronous and distributed processing in various applications. this tutorial will guide you through the process of setting up celery and using it to execute tasks asynchronously.
before you start, make sure you have the following prerequisites installed:
you can install celery using pip. open your terminal and run the following command:
for this tutorial, we'll use rabbitmq as the message broker. you can install rabbitmq by following the instructions on the official website: rabbitmq installation guide
create a new directory for your celery project and navigate into it. inside the project directory, create the following files:
this task (add) takes two arguments (x and y) and returns their sum.
open a terminal and navigate to your project directory. start the celery worker using the following command:
this command tells celery to use the tasks module and start a worker.
you should see the task result printed in the terminal.
congratulations! you've successfully set up and used celery to execute tasks asynchronously. this is a basic example, and celery can handle more complex scenarios, such as periodic tasks, retries, and task result storage. explore the official celery documentation for more advanced features and configurations.
chatgpt
...

#python celery github
#python celery vs
#python celery flower
#python celery redis
#python celery alternative

Related videos on our channel:
python celery github
python celery vs
python celery flower
python celery redis
python celery alternative
python celery task
python celery beat
python celery tutorial
python celery
python celery example
python tutorial for beginners
python tutorial
python tutorial for kids
python tutorial pdf
python tutorial free
python tutorial for beginners pdf
python tutorialspoint
python tutorial youtube