Jupyter and S3


You’ve installed Jupyter on EC2 as per my guide and you have some data you want to analyse on S3.

It’s really very simple if you’re using a S3 IAM role with your instance then it’s as easy as:

No messing with permissions, no access id or secret key needed.

If you happen to have multiple csv files in your bucket and you want to load them into a single dataframe. Again simple, using boto but without the need for embedding your access id or secret key:



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Big Data and Python geek. Writes an eclectic mix of news from the world of Big Data and Telecommunications interspersed with articles on Python, Hadoop, E-Commerce and my continual attempts to learn Russian!

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