celery 2.4.6-1ubuntu0.1 source package in Ubuntu

Changelog

celery (2.4.6-1ubuntu0.1) precise-proposed; urgency=low

  * SRU: Drop issue tracker for doc generation as it adds a build-dep
    that it is not necessary for this package to build. This allows us to
    MIR celery without MIR'ing the dependency. (LP: #1177855)
    - debian/control: Drop build-dep on python-sphinxcontrib.issuetracker,
    - debian/patches/ubuntu-drop-issuetracker.patch: Drop import in doc
      generation.
 -- Andres Rodriguez <email address hidden>   Wed, 15 May 2013 10:39:29 -0400

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Uploaded by:
Andres Rodriguez
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Architectures:
all
Section:
python
Urgency:
Low Urgency

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Series Pocket Published Component Section
Precise updates main python

Builds

Precise: [FULLYBUILT] i386

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File Size SHA-256 Checksum
celery_2.4.6.orig.tar.gz 871.5 KiB 59d2c8067bb10d6558e524131e38d5c7684fba0211dbd58229bc73f16334f0b4
celery_2.4.6-1ubuntu0.1.debian.tar.gz 9.3 KiB 52338eef5341094e3697060184e3cd2030adfd7602c558089aa453ce5eb35379
celery_2.4.6-1ubuntu0.1.dsc 2.5 KiB 68eb8aaea247b39761ca6cce65c3f5ca38a6e88ba3c2e487374f2672a709f177

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Binary packages built by this source

python-celery: async task/job queue based on message passing

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.

python-celery-doc: async task/job queue based on message passing (Documentation)

 Celery is an open source asynchronous task queue/job queue based on
 distributed message passing. It is focused on real-time operation,
 but supports scheduling as well.
 .
 The execution units, called tasks, are executed concurrently on one
 or more worker nodes. Tasks can execute asynchronously (in the
 background) or synchronously (wait until ready).
 .
 Celery is written in Python, but the protocol can be implemented
 in any language. It can also operate with other languages using
 webhooks.
 .
 The recommended message broker is RabbitMQ, but limited support for Redis,
 Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
 ORM) is also available. Celery is easy to integrate with Django, using the
 python-django-celery package.
 .
 This package contains the documentation.