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dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.

...Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security

...Currently tested with Python 2.4 and 2.6, but should work with any version. I'm not using anything special. My plans also include monitoring/managing of Windows servers through the same python client, but compiled into a working exe, but I will work on that when the Linux client is finished first.

This toolkit consists of three small tools which enable the user to deploy, overview and undeploy any JSR88/J2EE1.4 conformant application into any JSR88/J2EE1.4 conformant app. server. Our target is to become the I******Shield of the J2EE world.

Wireless and Small Devices implementations normally support the Http Connection interface, which allows application to be portable across different mobile information devices by using HTTP as the underlying protocol. HTTP in spite of obvious advantages i