PyConAU 2012 Talk on PiCloud
Update: The slides are up on SpeakerDeck now and can be accessed here. Next time I do demos in a talk, I should definitely give Ryan Kelly’s playitagainsam a shot. Unfortunately, the room where I was talking had no recording, so sorry this talk won’t be available for viewing. See Nick Coghlan’s notes on the talk here
Few hours from now, I will be presenting my talk on PiCloud. The slides along with the demo code and demos are available here . You can clone this repository and try out the demo code, after you have setup PiCloud. You can also try loading a couple of the demos in a IPython Notebook using the notebook files provided.
Overall the treatment is pretty basic, here are three videos which I will use as part of the talk.
The first video shows PiCloud setup:
The second video shows couple of simple use cases:
The final video shows the automatic deployment feature. PiCloud detects and automatically transfers your Python modules:
Decorating the cloud call
Yesterday while thinking about the talk, I thought if I could have a way to decorate functions which I want to execute in the cloud. That is, instead of calling cloud.call( ) in all my functions, why not have a decorator. Here is what I came up with:
# Demo code: decorator wrapping a call to PiCloud # See: https://github.com/amitsaha/picloud-preso def cloudcall(func): def sendtocloud(*args, **kwargs): import cloud jid = cloud.call(func,*args,**kwargs) cloud.join(jid) print 'Result:: ', cloud.result(jid) return sendtocloud # simply decorate a method you want to be executed # in PiCloud @cloudcall def anexpensivefunction(x,y): return x**3 + y**3 if __name__=='__main__': anexpensivefunction(3,3)
I think it is an useful thing. Have a thought? Let me know.