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Would it be possible to launch several different python programs at once (via Popen) and have each one of them bind to a different interface?
Also once this is done does that mean all traffic coming from that python process will use that interface, since I plan to mix and match the urllib2, mechanize, and Ghost.py modules in the child processes.
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We have a requirement that we need to run a service for N different IPs on a same port but have only one network interface.
Is the same possible in Python - I do not have any code to share
this isn't really anything to do with Python, most operating systems allow you to associate multiple IP addresses with the same adapter. see here for some ways to do this under Linux
in Python you'd just bind to 0.0.0.0 (and/or :: for IPv6) and, assuming you'd set things up elsewhere appropriately, it should just work
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I would like to use Python for my project but I need to distribute the computation on a set of resources.
You can try with pyCOMPSs, which is the python version of COMP superscalar.
More info here
With this programming model you define which methods are candidate to be executed remotely defining the direction of the method parameters (IN OUT or INOUT). Then the main code is programmed in a sequential fashion and the runtime analyses dependencies between these methods detecting which can be executed in parallel. The runtime also spawn the exectution transparently to the remote hosts and do all data transfers.
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IPython has a great concept of comm objects, which are basically pairs of objects - one on Python side and the other in JavaScript - which pass messages between them allowing for underlying widget objects to be transformed in unison on the server and client sides.
I'm planning to reuse the same concept in an application I'm writing, so I'm considering simply reusing the actual implementation from IPython rather than writing one of my own. Does anyone have any experience that, and could provide me with some suggestions and caveats?
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I've seen several examples of simple Python client/server programs on the web. My question is, in order to have the server consistently listening from sunrise to sunset, what is the most efficient way to go?
If I just include an infinite while loop for accepting connections, is that the best way to utilize my resources, or is there a better/more efficient way to program that?
In other words, is the server tutorial here best practice (minus not catching exceptions)?
The best course of action for you would be to explore the tulip library. It's already checked in in the upcoming Python 3.4 (named asyncio), but you can start using it today.
Tulip library on google code: https://code.google.com/p/tulip/source/checkout
PEP 3156 Asynchronous IO Support Rebooted: the "asyncio" Module: http://www.python.org/dev/peps/pep-3156/
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Just a quick quick question cause i cant find the answer anywhere. What programming language is the Python Database API v2.0 written in?
Since it's just an API it's actually written in plain English. It depends on the driver on what language it's implemented - there are pure Python DB clients and there are ones written in C.