Key | Value |
---|---|
FileName | ./usr/share/doc/python-django-celery-doc/html/getting-started/first-steps-with-django.html |
FileSize | 5336 |
MD5 | 4FE39184936D004482FB363EDDE537E3 |
SHA-1 | 1471BF03152DFA8B2632F7F71EA944E5AEB34E20 |
SHA-256 | BE3AB52A7CF2BB04391B15D7DA18AE236B1B975A10852662AE112523066B3002 |
SSDEEP | 96:LffJHcMOIc3tD9WjmRlMny/TA56Pv3SKGeh9D9p7YD7hvIckZS1T5DPjmRlkny/z:LdOx1RlMnIyIUIO1URlkn+y8 |
TLSH | T1E1B1425568F0E997865789D6FDE0AB35BD93C243C2452D0871DC296E4FC2F888D4B38E |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 69988 |
MD5 | C74AB5F633EDB52F162717BE5F1B63E9 |
PackageDescription | Celery integration for Django (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. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. . This package contains the documentation. |
PackageMaintainer | Debian Python Modules Team <python-modules-team@lists.alioth.debian.org> |
PackageName | python-django-celery-doc |
PackageSection | doc |
PackageVersion | 3.1.16-1 |
SHA-1 | 4CA118F2D173B65A8F25AC8622AA798FBDCBF86E |
SHA-256 | 7394BF8F54655620C611C6EB83F91D3688474B6528729DAC31B39704BD282607 |
Key | Value |
---|---|
FileSize | 49780 |
MD5 | 7A8CB0E3061EA530B347F3D0775563E5 |
PackageDescription | Celery integration for Django (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. . django-celery provides Celery integration for Django using the Django ORM and cache backend for storing results, autodiscovery of task modules for applications listed in INSTALLED_APPS, and integration of task monitoring through the Django admin interface. . Using it in a Django project provides a way to distribute asynchronous tasks like sending emails or batch-processing larger datasets to one or more separate worker nodes. . This package contains the documentation. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-django-celery-doc |
PackageSection | doc |
PackageVersion | 3.1.16-1 |
SHA-1 | 57333FD6BB5F48A3C9212976AD95A85650456775 |
SHA-256 | 2FCEE55E19878465BD1ACF74E83FCF35390CE36303C984A18DF1020E681EAF97 |