Distributed Computing with Python. Francesco Pierfederici

Distributed Computing with Python


Distributed.Computing.with.Python.pdf
ISBN: 9781785889691 | 156 pages | 4 Mb


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Distributed Computing with Python Francesco Pierfederici
Publisher: Packt Publishing, Limited



Proceedings of the 8th Python in Science Conference (SciPy 2009). Pydra provides an easy to use framework for writing, running and managingdistributed computing jobs in python. But also facilities for interactive distributed and par- allel computing, as well as a comprehensive set of tools for building special-purpose interactive envi-. Distributed and Parallel Computing with/for Python. University of Notre Dame pbui@nd.edu. A one-of-a-kind course that is focused on using Python to build distributed systems. Node.js, or just Node, is a JavaScript-based system ideal for real-time computing across distributed devices. It is a light-weight, Python only, distributed computing framework. Celery is an asynchronous task queue/job queue based on distributed Celery is written in Python, but the protocol can be implemented in any language. Docs »; dispy: Distributed and Parallel Computing with/for Python or cloud. PaPy: Parallel and distributed data-processing pipelines in Python. A short introduction and tutorial to distributed memory computing with Python. In the previous post, I discussed how the multiprocessing package can be used to run CPU-bound computation tasks in parallel on a multi-core machine. Weaver: Integrating Distributed Computing Abstractions into Scientific Workflows using Python. Services as might be encountered in a distributed computing environment.





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