NOTE: Chris is one of the SageMaker developers at Amazon (I asked him
to respond to your post, and know him since I was on his Ph.D. theses
committee...).

On Mon, Aug 6, 2018 at 11:23 AM, Chris Swierczewski <[email protected]> wrote:
> Hello Corentin,
>
>
>> Someone knows an easy way to link my AWS and Jupyter Notebook? because I
>> want to run my jupyter script on AWS.
>
>
>
> As William mentioned that SageMaker one easy way to run Jupyter notebooks
> with easy access to all of your AWS account credentials and data. There are
> a bunch of example notebooks located here:
>
>     https://github.com/awslabs/amazon-sagemaker-examples
>
> There are a bunch more things SageMaker can do but you can certainly just
> use it as a notebook hosting service!
>
> More generally, the Boto3 package (https://boto3.readthedocs.io/en/latest/)
> provides a way for Python code to access and interact with AWS services.
> You'll still need to set up your AWS CLI environment with the proper
> credentials but once that's done you can, for example, obtain S3 data using
> some Boto3 Python commands. Boto3 is open source and officially supported
> (and hacked on) by AWS.
>
> --
> Chris
>
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-- 
William (http://wstein.org)

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