python-celery
http://github.com/ask/celery
Celery is a distributed task queue. It was first created for Django, but is now usable from Python. It can also operate with
other languages via HTTP+JSON. It is used for executing tasks asynchronously, routed to one or more worker servers, running
concurrently using multiprocessing. It is designed to solve certain problems related to running websites demanding high-availability and performance.
It is perfect for filling caches, posting updates to twitter, mass downloading data like syndication feeds or web scraping. Use-cases are plentiful. Implementing these features asynchronously using celery is easy and fun, and the performance improvements can make it more than worthwhile.
- Developed at devel:languages:python
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Source Files
| Filename | Size | Changed |
|---|---|---|
| _multibuild | 0000000053 53 Bytes | |
| celery-4.3.0.tar.gz | 0001398430 1.33 MB | |
| python-celery.changes | 0000083223 81.3 KB | |
| python-celery.spec | 0000003364 3.29 KB | |
| unpin-pytest.patch | 0000000286 286 Bytes |
Revision 27 (latest revision is 45)
Dominique Leuenberger (dimstar_suse)
accepted
request 718188
from
Tomáš Chvátal (scarabeus_iv)
(revision 27)
- Add ringdisabled to avoid pulling the test deps in rings to keep them from growing too much - Switch to multibuild in order to not pull moto everywhere - Update to 4.3.0: * See the changelog for in-depth details - Remove merged patches: * python37-1.patch * python37-2.patch * python37-3.patch * disable-pytest-log-capturing.patch * celery-no-redis.patch * relax-billiard-pin.patch - Rebase patch unpin-pytest.patch
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