Go+: Go designed for data science

1

AWS Data Wrangler

Yep, agreed. Go is a great language for AWS Lambda type workflows.<p>Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (<a href="https://github.com/awslabs/aws-data-wrangler" rel="nofollow">https://github.com/awslabs/aws-data-wrangler</a>) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution.

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2

Jupyter

I think the appeal is with Jupyter [1] notebooks. Python is not about performance. Usually numpy (or other libraries) that does the heavy lifting on another language.<p>But having the Jupyter notebooks allows for intractability with the data. Make changes, and see how it affects every step after it.<p>[1] <a href="https://jupyter.org/" rel="nofollow">https://jupyter.org/</a>.

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