limits can be set for each task type, or globally for all. Routing Using AMQP’s flexible routing model you can route tasks to different workers, or select different message topologies, by configuration Figure 2: Worker bindings. Go to Routing Tasks. Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different then it must be the tasks responsibility to assert that, not the callers. Another gotcha is Django model objects. They shouldn’t be passed on as arguments to tasks. It’s almost always better to re-fetch

limits can be set for each task type, or globally for all. Routing Using AMQP’s flexible routing model you can route tasks to different workers, or select different message topologies, by configuration Figure 2: Worker bindings. Go to Routing Tasks. Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different then it must be the tasks responsibility to assert that, not the callers. Another gotcha is Django model objects. They shouldn’t be passed on as arguments to tasks. It’s almost always better to re-fetch

limits can be set for each task type, or globally for all. Routing Using AMQP’s flexible routing model you can route tasks to different workers, or select different message topologies, by configuration Figure 2: Worker bindings. Go to Routing Tasks. Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different then it must be the tasks responsibility to assert that, not the callers. Another gotcha is Django model objects. They shouldn’t be passed on as arguments to tasks. It’s almost always better to re-fetch

limits can be set for each task type, or globally for all. Routing Using AMQP’s flexible routing model you can route tasks to different workers, or select different message topologies, by configuration Figure 2: Worker bindings. Go to Routing Tasks. Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different then it must be the tasks responsibility to assert that, not the callers. Another gotcha is Django model objects. They shouldn’t be passed on as arguments to tasks. It’s almost always better to re-fetch

limits can be set for each task type, or globally for all. Routing Using AMQP’s flexible routing model you can route tasks to different workers, or select different message topologies, by configuration Figure 2: Worker bindings. Go to Routing Tasks. Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different then it must be the tasks responsibility to assert that, not the callers. Another gotcha is Django model objects. They shouldn’t be passed on as arguments to tasks. It’s almost always better to re-fetch

limits can be set for each task type, or globally for all. Routing Using AMQP’s flexible routing model you can route tasks to different workers, or select different message topologies, by configuration Figure 2: Worker bindings. Go to Routing Tasks. Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different then it must be the tasks responsibility to assert that, not the callers. Another gotcha is Django model objects. They shouldn’t be passed on as arguments to tasks. It’s almost always better to re-fetch

limits can be set for each task type, or globally for all. Routing Using AMQP’s flexible routing model you can route tasks to different workers, or select different message topologies, by configuration Figure 2: Worker bindings. Go to Routing Tasks. Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different then it must be the tasks responsibility to assert that, not the callers. Another gotcha is Django model objects. They shouldn’t be passed on as arguments to tasks. It’s almost always better to re-fetch

limits can be set for each task type, or globally for all. Routing Using AMQP’s flexible routing model you can route tasks to different workers, or select different message topologies, by configuration Figure 2: Worker bindings. Go to Routing Tasks. Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different then it must be the tasks responsibility to assert that, not the callers. Another gotcha is Django model objects. They shouldn’t be passed on as arguments to tasks. It’s almost always better to re-fetch

server Alternatives to token authentication Security in notebook documents The problem Our security model The details of trust Reporting security issues Affected use cases Configuring the notebook frontend the notebook to open a Qt console connected to the same kernel. See also Decoupled two-process model [https://ipython.readthedocs.io/en/stable/overview.html#ipythonzmq] Notebook user interface When Chrome Safari Firefox The is mainly due to the notebook’s usage of WebSockets and the flexible box model. The following browsers are unsupported: Safari < 5 Firefox < 6 Chrome < 13 Opera (any): CSS

the notebook to open a Qt console connected to the same kernel. See also: Decoupled two-process model 1.3 Notebook user interface When you create a new notebook document, you will be presented with • Safari • Firefox The is mainly due to the notebook’s usage of WebSockets and the flexible box model. The following browsers are unsupported: • Safari < 5 • Firefox < 6 • Chrome < 13 • Opera (any): NotebookApp.websocket_compression_options [Any] Default: None Set the tornado compression options for websocket connections. This value will be returned from WebSocketHandler.get_compression_options(). None