We have many concurrency/multiprocessing capabilities at our finger tips, such as threads, processes, locks, mutexes, select, epoll, transactional memory, etc. But none of them are a model for multiprocessing, they are only tools on which you would build an implementation of such a model. So what are the models we can choose from? How would they be implemented in Python? And how do they relate to the principle of sufficient irritation?
Joe Gregorio is a software engineer working on APIs at Google. He is a member of the AtomPub Workgroup, editor of the Atom Publishing Protocol, co-author of the URI Templates spec, and has a deep interest in web technologies, writing “The RESTFul Web” column for the online O’Reilly publication XML.com, writing the first desktop aggregator written in C#, and publishing various Python modules to help in putting together RESTful web services such as mimeparse, httplib2, and the google-api-python-client. He’s interested in REST, web services, Python, APIs, URI Templates, Atom Publishing Protocol, Big Data, or any linear combination of such.
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