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.
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Source Files (show merged sources derived from linked package)
Filename | Size | Changed |
---|---|---|
879af6341974c3778077d8212d78f093b2d77a4f.patch | 0000006225 6.08 KB | |
_link | 0000000130 130 Bytes | |
_multibuild | 0000000053 53 Bytes | |
b260860988469ef8ad74f2d4225839c2fa91d590.patch | 0000001399 1.37 KB | |
celery-5.2.7.tar.gz | 0001474243 1.41 MB | |
move-pytest-configuration-to-conftest.patch | 0000001722 1.68 KB | |
python-celery.changes | 0000095960 93.7 KB | |
python-celery.spec | 0000004514 4.41 KB | |
sqlalchemy-2.0.patch | 0000000737 737 Bytes | |
tests.patch | 0000011767 11.5 KB |
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Eric Schirra (ecsos)
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