Scaling Your Services With AWS: Part 1 by Stan Kowalczyk   If you’ve ever developed something and put it online, you’ve probably thought about scaling at some point. In this blog series we’ll explore scaling in AWS using EC2 instances (virtual machines). This is the first part of the series, and in this post we’ll define scaling, and set up a simple demo system using Amazon Web Services (AWS) with all infrastructure needed to get…

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  Implementation Details Are Coming to Kill Your Experiment by Maryna Vlasiuk   Keeping Your Sanity When it comes to data science projects, reproducibility is always nice to have, not only for the sake of science, but also to preserve one’s sanity – revisited experiments should make sense rather than leave one baffled. Moreover, if one intends to share their project, they should want to make sure their peers would get the same result using the same…

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Data Management for Data Scientists by Shannon Pace   Lessons from Software Engineering Although the field of data science is rapidly growing in popularity, there’s nothing new about data. Even the humblest application in the earliest days of the software engineering field existed purely to represent, search and transform data. Ever since, the ways of processing and managing data have only multiplied. In this time, valuable strategies for data management have been developed and refined.…

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