Python Scientific Libraries in Spark

[Rohit Pujari <rp...@hortonworks.com>]

Hello Folks:

Since spark exposes python bindings and allows you to express your logic in
Python, Is there a way to leverage some of the sophisticated libraries like
NumPy, SciPy, Scikit in spark job and run at scale?

What's been your experience, any insights you can share in terms of what's
possible today and some of the active development in the community that's
on the horizon.

Thanks,
Rohit Pujari
Solutions Architect, Hortonworks

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Re: Python Scientific Libraries in Spark

[Davies Liu <da...@databricks.com>]

These libraries could be used in PySpark easily. For example, MLlib
uses Numpy heavily, it can accept np.array or sparse matrix in SciPy
as vectors.

On Mon, Nov 24, 2014 at 10:56 AM, Rohit Pujari <rp...@hortonworks.com> wrote:
> Hello Folks:
>
> Since spark exposes python bindings and allows you to express your logic in
> Python, Is there a way to leverage some of the sophisticated libraries like
> NumPy, SciPy, Scikit in spark job and run at scale?
>
> What's been your experience, any insights you can share in terms of what's
> possible today and some of the active development in the community that's on
> the horizon.
>
> Thanks,
> Rohit Pujari
> Solutions Architect, Hortonworks
>
>
> CONFIDENTIALITY NOTICE
> NOTICE: This message is intended for the use of the individual or entity to
> which it is addressed and may contain information that is confidential,
> privileged and exempt from disclosure under applicable law. If the reader of
> this message is not the intended recipient, you are hereby notified that any
> printing, copying, dissemination, distribution, disclosure or forwarding of
> this communication is strictly prohibited. If you have received this
> communication in error, please contact the sender immediately and delete it
> from your system. Thank You.

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