This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

Science VM is a scicloud-computing platform that integrates into the Python Programming Language. It enables you to leverage the computing power of your datacenter and/or your choice of scicloud providers without having to manage, maintain, or configure virtual servers.

When using this Python library known as scicloud, Science VM will integrate seamlessly into your existing code base. To offload the execution of a function to our servers, all you must do is pass your desired function into the scicloud library. ScienceVM will run the function on its high-performance cluster. As you run more functions, our cluster auto-scales to meet your computational needs.

Before using this package, you will need to sign up a Science VM account.

The scicloud library also features a simulator, which can be used without a Science VM account. The simulator uses the multiprocessing library to create a stripped down version of the Science VM service. This simulated service can then run jobs locally across all CPU cores.

Quick command-line example:

>>> import scicloud
>>> def square(x):
...     return x*x
...
>>> jid = scicloud.call(square,3)  #square(3) evaluated on Science VM
>>> scicloud.result(jid)
9

Full package documentation is available at http://docs.scivm.com. Some dependencies may be required depending on your platform and Python version; see INSTALL for more information.

Release History

Release History

3.0.4

This version

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3.0.3

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3.0.2

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3.0.1

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3.0.0

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
scicloud-3.0.4.tar.gz (240.3 kB) Copy SHA256 Checksum SHA256 Source Feb 11, 2014

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