[Neuroimaging] ANN: Cloudknot 0.1

[Chris Gorgolewski]

Sounds super cool!

Best,
Chris

On Nov 17, 2017 8:20 AM, "Ariel Rokem" <arokem at gmail.com> wrote:

> Hi everyone,
>
> Not a neuroimaging-specific tool, but might still be of interest to folks
> on this list: we are happy to announce the first release of *Cloudknot*,
> a software library that makes it easy to run your existing Python code at
> scale using AWS Batch.
>
> Documentation is here: https://richford.github.io/cloudknot/
>
> The source code is available on Github: https://github.com/ric
> hford/cloudknot
>
> And there are few example use-cases (including analysis of MRI data!)
> here: https://github.com/richford/cloudknot/tree/master/examples
>
> To use it install with `pip install cloudknot`. A minimal example looks
> like this:
>
> ```
> import cloudknot as ck
>
> def my_awesome_func(b):
>     """Here is a function I want to run on AWS Batch"""
>     # Always import dependencies within the function
>     import numpy as np
>
>     x = np.random.normal(0, b, 1024)
>     A = np.random.normal(0, b, (1024, 1024))
>
>     return np.dot(A, x)
>
> # Create a `Knot`, the primary object in cloudknot (docs
> <https://richford.github.io/cloudknot/documentation.html#knot>)
> knot = ck.Knot(name='my_awesome_func', func=my_awesome_func)
>
> # Submit 20 jobs (each one will run on AWS batch and then send the results
> back here)
> result_futures = knot.map(range(1, 20))
> ```
>
> We welcome any feedback you have!
>
> Cheers,
>
> Ariel
>
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