EuroPython 2015

Distributed Programming With Python

This tutorial explores some real-world solutions to make your Python code run on different processes, possibly on different computers.

Tools like Pyro, Celery, Python-RQ will be discussed. Ways to run your Python code on a supercomputer/cluster using a batch job scheduler and packages for local parallelism such as multiprocessing and concurrent.futures will be touched upon as well.

The emphasis is on practical examples and lessons learned. The assumption is that the attendee is familiar with Python and basic OOP concepts.

in on Thursday 23 July at 11:00 See schedule
in on Thursday 23 July at 11:00 See schedule


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