Last week I went to the lecture on Evolutionary Algorithms and Multi Objective optimisation, which my friend Dr Evan Hughes. It is very interesting course and I wish I had an opportunity to listen to it earlier – the earlier the better. I really like the examples of the problems shown and absolutely amazed by some of the examples. One of the “difficult” objective functions below. Is anyone who would like to try to find maximum?
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I spent a lot of time trying to figure out how to build matplotlib on Snow Leopard without using macports – I prefer to use homebrew instead and ended up with incompatible binaries, until I found ‘This’. Notes
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Tags:
mac os x,
matplotlib,
python
Not too obvious since doc here doesn’t mention it.
Working configuration:
CARROT_BACKEND = "ghettoq.taproot.Redis"
CELERY_RESULT_BACKEND = "redis"
REDIS_HOST = "localhost"
REDIS_PORT = 6379
REDIS_DB = 0
REDIS_CONNECT_RETRY = True #this one is deprecated
BROKER_HOST = "localhost" # Maps to redis host.
BROKER_PORT = 6379 # Maps to redis port.
BROKER_VHOST = "0" # Maps to database number.
#this line will screw up things for ghettoq backend
#CELERY_DEFAULT_EXCHANGE = "tasks"
CELERY_IMPORTS = ("tasks", )
Follow this link for more details
Tags:
python,
redis,
tasks
