Azure Cosmos DB 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 be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Azure Cosmos DB 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 be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Azure Cosmos DB 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 be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Azure Cosmos DB 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 be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Cassandra, Elasticsearch Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring Scheduling A stream of monitoring events is emitted by be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Azure Cosmos DB 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 be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Azure Cosmos DB 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 be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Azure Cosmos DB 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 be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Azure Cosmos DB 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 be called when all of the tasks in a group have finished executing. This is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for

Django ORM Apache Cassandra Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring A stream of monitoring events is emitted by workers and be called when all of the tasks in a group have finished executing, which is often required for algorithms that aren’t embarrassingly parallel: >>> from celery import chord >>> res = chord((add.s(i, i) powerful primitive to have in your toolbox as synchronization is a required step for many parallel algorithms. Let’s break the chord expression down: >>> callback = tsum.s() >>> header = [add.s(i, i) for