Hello, I'm happy to announce that NumPy 1.7.0 is now available on PiCloud [1]. Previously, NumPy 1.6.2 was the most up-to-date version available by default.
While any user could always create a custom environment, and install the latest version themselves [2], we've decided to address the issue directly by having the latest NumPy available as part of the public environment "/picloud/science". Using that environment will give you access to 1.7.0, and we plan to have it track the latest version of popular scientific packages including SciPy. Note also that NumPy has been compiled with the Intel Math Kernel (MKL) library, which greatly accelerates certain operations (for ex. numpy.dot), especially on the hyper-threading-enabled f2 core. If you're unfamiliar with how to use NumPy on PiCloud, please see our documentation [3] [4]. Hope this helps! [1] http://www.picloud.com [2] http://docs.picloud.com/**environment.html<http://docs.picloud.com/environment.html> [3] http://docs.picloud.com/howto/pyscientifictools.html [4] http://docs.picloud.com/howto/primer.html Best Regards, John -- John Riley PiCloud, Inc.
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