Celery v5.0.0 Documentationmediate between clients and workers. To initiate a task the client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers support Microsoft Windows. Please don’t open any issues related to that platform. Celery requires a message transport to send and receive messages. The RabbitMQ and Redis broker transports are feature complete File system Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring A stream of monitoring events is emitted by workers and is used by0 码力 | 2309 页 | 2.13 MB | 1 年前3
Celery v5.0.1 Documentationmediate between clients and workers. To initiate a task the client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers support Microsoft Windows. Please don’t open any issues related to that platform. Celery requires a message transport to send and receive messages. The RabbitMQ and Redis broker transports are feature complete File system Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring A stream of monitoring events is emitted by workers and is used by0 码力 | 2313 页 | 2.13 MB | 1 年前3
Celery v5.0.2 Documentationmediate between clients and workers. To initiate a task the client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers support Microsoft Windows. Please don’t open any issues related to that platform. Celery requires a message transport to send and receive messages. The RabbitMQ and Redis broker transports are feature complete File system Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring A stream of monitoring events is emitted by workers and is used by0 码力 | 2313 页 | 2.14 MB | 1 年前3
Celery v5.0.5 Documentationmediate between clients and workers. To initiate a task the client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers support Microsoft Windows. Please don’t open any issues related to that platform. Celery requires a message transport to send and receive messages. The RabbitMQ and Redis broker transports are feature complete File system Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring A stream of monitoring events is emitted by workers and is used by0 码力 | 2315 页 | 2.14 MB | 1 年前3
Celery 3.0 Documentationmediate between clients and workers. To initiate a task the client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers support Microsoft Windows. Please don’t open any issues related to that platform. Celery requires a message transport to send and receive messages. The RabbitMQ and Redis broker transports are feature complete Elasticsearch Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring Scheduling A stream of monitoring events is emitted by workers and0 码力 | 2110 页 | 2.23 MB | 1 年前3
Celery v4.0.0 Documentationmediate between clients and workers. To initiate a task the client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers support Microsoft Windows. Please don’t open any issues related to that platform. Celery requires a message transport to send and receive messages. The RabbitMQ and Redis broker transports are feature complete Elasticsearch Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring Scheduling A stream of monitoring events is emitted by workers and0 码力 | 2106 页 | 2.23 MB | 1 年前3
Python 标准库参考指南 2.7.18 . . . . . . . . . . 396 14.3 md5 —MD5 message digest algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 14.4 sha —SHA-1 message digest algorithm . . . . . . . . . . . 。如果对象 允许,该函数将删除指定的属性。例如 delattr(x, 'foobar') 等价于 del x.foobar 。 class dict(**kwarg) class dict(mapping, **kwarg) class dict(iterable, **kwarg) 创建一个新的字典。dict 对象是一个字典类。参见dict 和映射类型—dict 了解这个类。 其他容器类型,请参见内置的 must 9 The Python Library Reference, 发布 2.7.18 be a dictionary. If provided, locals can be any mapping object. 在 2.4 版更改: formerly locals was required to be a dictionary. The expression argument is0 码力 | 1552 页 | 7.42 MB | 10 月前3
Python 标准库参考指南 2.7.18 . . . . . . . . . . 396 14.3 md5 —MD5 message digest algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 14.4 sha —SHA-1 message digest algorithm . . . . . . . . . . . 。如果对象 允许,该函数将删除指定的属性。例如 delattr(x, 'foobar') 等价于 del x.foobar 。 class dict(**kwarg) class dict(mapping, **kwarg) class dict(iterable, **kwarg) 创建一个新的字典。dict 对象是一个字典类。参见dict 和映射类型—dict 了解这个类。 其他容器类型,请参见内置的 must 9 The Python Library Reference, 发布 2.7.18 be a dictionary. If provided, locals can be any mapping object. 在 2.4 版更改: formerly locals was required to be a dictionary. The expression argument is0 码力 | 1552 页 | 7.42 MB | 10 月前3
Python 标准库参考指南 2.7.18 . . . . . . . . . . 396 14.3 md5 —MD5 message digest algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 14.4 sha —SHA-1 message digest algorithm . . . . . . . . . . . 。如果对象 允许,该函数将删除指定的属性。例如 delattr(x, 'foobar') 等价于 del x.foobar 。 class dict(**kwarg) class dict(mapping, **kwarg) class dict(iterable, **kwarg) 创建一个新的字典。dict 对象是一个字典类。参见dict 和映射类型—dict 了解这个类。 其他容器类型,请参见内置的 must 9 The Python Library Reference, 发布 2.7.18 be a dictionary. If provided, locals can be any mapping object. 在 2.4 版更改: formerly locals was required to be a dictionary. The expression argument is0 码力 | 1552 页 | 7.42 MB | 10 月前3
peewee Documentation Release 1.0.0documentation » Overview peewee is a lightweight ORM [http://en.wikipedia.org/wiki/Object-relational_mapping] written in python. Examples: # a simple query selecting a user User.get(username='charles') # foreign-keys to the User model and represents “following”. Message: analagous to a tweet. this model stores the text content of the message, when it was created, and who posted it (foreign key to User) related_name='relationships') to_user = ForeignKeyField(User, related_name='related_to') class Message(BaseModel): user = ForeignKeyField(User) content = TextField() pub_date = DateTimeField()0 码力 | 101 页 | 163.20 KB | 1 年前3
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