Thanks, SageMake works very well

2018-08-06 19:26 GMT+01:00 William Stein <[email protected]>:

> 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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> 4c5a-89cf-f23f32365e48%40googlegroups.com.
> >
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>
>
> --
> William (http://wstein.org)
>
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