python-rq / RQ: Simple job queues for

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Title	RQ: Simple job queues for
Description	Getting Home Docs Patterns Contributing Chat RQ ( Redis Queue ) is a simple Python library for queueing jobs and processing them in the background with workers. I
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python-rq.org Valuation

US$117,794,456

Last updated: 2023-04-27 16:59:22

python-rq.org has Semrush global rank of 89,854. python-rq.org has an estimated worth of US$ 117,794,456, based on its estimated Ads revenue. python-rq.org receives approximately 13,591,668 unique visitors each day. Its web server is located in -, with IP address 185.199.110.153. According to SiteAdvisor, python-rq.org is safe to visit.

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Purchase/Sale Value	US$117,794,456
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Daily Unique Visitors	906,112
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HtmlToTextCheckTime:2023-04-27 16:59:22

Home Docs Patterns Contributing Chat RQ ( Redis Queue ) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry. It can be integrated in your web stack easily. RQ requires Redis >= 3.0.0. Getting started First, run a Redis server. You can use an existing one. To put jobs on queues, you don’t have to do anything special, just define your typically lengthy or blocking function: import requests def count_words_at_url ( url ): resp = requests . get ( url ) return len ( resp . text . split ()) Then, create a RQ queue: from redis import Redis from rq import Queue q = Queue ( connection = Redis ()) And enqueue the function call: from my_module import count_words_at_url result = q . enqueue ( count_words_at_url , ’http://nvie.com’ ) Scheduling jobs are similarly easy: # Schedule job to run at 9:15, October 10th job = queue . enqueue_at ( datetime ( 2019 , 10 , 8 , 9 , 15 ),

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python-rq.org valuation and analysis