probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import task @task def add(x, y): return x + y You can execute the task in the background, or wait for it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, convention we will call our module tasks.py, and it looks like this: file tasks.py from celery.task import task @task def add(x, y): return x + y Behind the scenes the @task decorator actually creates a

want to see some code by now, so here’s an example task adding two numbers: from celery.decorators import task @task def add(x, y): return x + y You can execute the task in the background, or wait for it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, convention is to call it tasks.py. Our addition task looks like this: tasks.py: from celery.decorators import task @task def add(x, y): return x + y All celery tasks are classes that inherit from the Task

probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import task @task def add(x, y): return x + y You can execute the task in the background, or wait it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, convention we will call our module tasks.py, and it looks like this: file: tasks.py from celery.task import task @task def add(x, y): return x + y Behind the scenes the @task decorator actually creates

probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import task @task def add(x, y): return x + y You can execute the task in the background, or wait for it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, Using Redis Redis is also feature-complete, but power failures or abrupt termination may result in data loss. • Using SQLAlchemy • Using the Django Database Using a database as a message queue is not

want to see some code by now, so here’s an example task adding two numbers: from celery.decorators import task @task def add(x, y): return x + y You can execute the task in the background, or wait it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, convention is to call it tasks.py. Our addition task looks like this: tasks.py: from celery.decorators import task @task def add(x, y): return x + y All celery tasks are classes that inherit from the Task

probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import task @task def add(x, y): return x + y You can execute the task in the background, or wait for it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, convention we will call our module tasks.py, and it looks like this: file tasks.py from celery.task import task @task def add(x, y): return x + y Behind the scenes the @task decorator actually creates a

probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import task @task def add(x, y): return x + y You can execute the task in the background, or wait it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, [http://redis.io/] is also feature-complete, but power failures or abrupt termination may result in data loss. Using SQLAlchemy Using the Django Database Using a database as a message queue is not recommended

probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import task @task def add(x, y): return x + y You can execute the task in the background, or wait for it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, Using Redis Redis is also feature-complete, but power failures or abrupt termination may result in data loss. • Using SQLAlchemy • Using the Django Database Using a database as a message queue is not

probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import task @task def add(x, y): return x + y You can execute the task in the background, or wait it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, [http://redis.io/] is also feature-complete, but power failures or abrupt termination may result in data loss. Using SQLAlchemy Using the Django Database Using a database as a message queue is not recommended

probably want to see some code by now, so here’s an example task adding two numbers: from celery.task import task @task def add(x, y): return x + y You can execute the task in the background, or wait it you first have to add it to PATH, by adding the following line to the end of your ~/.profile: export PATH="/lol/bin:/lol/sbin:$PATH" Save your profile and reload it: $ source ~/.profile Finally, convention we will call our module tasks.py, and it looks like this: file: tasks.py from celery.task import task @task def add(x, y): return x + y Behind the scenes the @task decorator actually creates