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# WARNING: DON'T USE THIS IN PRODUCTION (yet)
# rq — Simple job queues for Python
**rq** is a lightweight Python job queue, based on Redis.
# Putting jobs on queues
To put jobs on queues, first declare a Python function to be called on
a background process:
def slow_fib(n):
if n <= 1:
return 1
else:
return slow_fib(n-1) + slow_fib(n-2)
Notice anything? There's nothing special about a job! Any Python function can
be put on an RQ queue, as long as the function is in a module that is
accessible from the worker process.
To calculate the 36th Fibonacci number in the background, simply do this:
from rq import Queue
from fib import slow_fib
# Calculate the 36th Fibonacci number in the background
q = Queue()
q.enqueue(slow_fib, 36)
If you want to put the work on a specific queue, simply specify its name:
q = Queue('math')
q.enqueue(slow_fib, 36)
You can use any queue name, so you can quite flexibly distribute work to your
own desire. Common patterns are to name your queues after priorities (e.g.
`high`, `medium`, `low`).
# Installation
Simply use the following command to install the latest released version:
pip install rq
If you want the cutting edge version (that may well be broken), use this:
pip install -e git+git@github.com:nvie/rq.git@master#egg=rq
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