django_redis disque_nodes disque_auth iron_mq sqs orm mongo mongo_db bulk cache cached scheduler cpu_affinity Brokers Redis Disque IronMQ Amazon SQS MongoDB Django ORM Reference Tasks Async Async python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil Hiredis [https://github.com/redis/hiredis] queue size of clusters running under OS X. CPU count through multiprocessing.cpu_count() [https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.cpu_count] does not work. Installing psutil

python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained under OS X. • CPU count through multiprocessing.cpu_count() does not work. Installing psutil provides Django Q with an alternative way of determining the number of CPU’s on your system • CPU affinity is this time does not support this feature on OSX. The code however is aware of this and will fake the CPU affinity assignment in the logs without actually assigning it. This way you can still develop with

django_redis disque_nodes disque_auth iron_mq sqs orm mongo mongo_db bulk cache cached scheduler cpu_affinity Brokers Redis Disque IronMQ Amazon SQS MongoDB Django ORM Reference Tasks Async Iterable python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil Hiredis [https://github.com/redis/hiredis] queue size of clusters running under OS X. CPU count through multiprocessing.cpu_count() [https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.cpu_count] does not work. Installing psutil

python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained under OS X. • CPU count through multiprocessing.cpu_count() does not work. Installing psutil provides Django Q with an alternative way of determining the number of CPU’s on your system • CPU affinity is this time does not support this feature on OSX. The code however is aware of this and will fake the CPU affinity assignment in the logs without actually assigning it. This way you can still develop with

python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained under OS X. • CPU count through multiprocessing.cpu_count() does not work. Installing psutil provides Django Q with an alternative way of determining the number of CPU’s on your system • CPU affinity is this time does not support this feature on OSX. The code however is aware of this and will fake the CPU affinity assignment in the logs without actually assigning it. This way you can still develop with

python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained under OS X. • CPU count through multiprocessing.cpu_count() does not work. Installing psutil provides Django Q with an alternative way of determining the number of CPU’s on your system • CPU affinity is this time does not support this feature on OSX. The code however is aware of this and will fake the CPU affinity assignment in the logs without actually assigning it. This way you can still develop with

python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained under OS X. • CPU count through multiprocessing.cpu_count() does not work. Installing psutil provides Django Q with an alternative way of determining the number of CPU’s on your system • CPU affinity is this time does not support this feature on OSX. The code however is aware of this and will fake the CPU affinity assignment in the logs without actually assigning it. This way you can still develop with

django_redis disque_nodes disque_auth iron_mq sqs orm mongo mongo_db bulk cache cached scheduler cpu_affinity Brokers Redis Disque IronMQ Amazon SQS MongoDB Django ORM Reference Tasks async() Async python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil Hiredis [https://github.com/redis/hiredis] queue size of clusters running under OS X. CPU count through multiprocessing.cpu_count() [https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.cpu_count] does not work. Installing psutil

django_redis disque_nodes disque_auth iron_mq sqs orm mongo mongo_db bulk cache cached scheduler rollbar cpu_affinity Brokers Redis Disque IronMQ Amazon SQS MongoDB Django ORM Reference Tasks async() Async python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil Hiredis [https://github.com/redis/hiredis] queue size of clusters running under OS X. CPU count through multiprocessing.cpu_count() [https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.cpu_count] does not work. Installing psutil

django_redis disque_nodes disque_auth iron_mq sqs orm mongo mongo_db bulk cache cached scheduler rollbar cpu_affinity Brokers Redis Disque IronMQ Amazon SQS MongoDB Django ORM Reference Tasks async() Async python system and process utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil Hiredis [https://github.com/redis/hiredis] queue size of clusters running under OS X. CPU count through multiprocessing.cpu_count() [https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.cpu_count] does not work. Installing psutil