Docker for Data Scientists I

One of the features of popular programming languages, like R and Python, is the speed at which the languages are updated and new features added. But what about old analyses? What happens when old projects need to be revisited or adapted to new projects. These projects may be months or years old and chances are the code wont run as intended with newer versions of the language and/or packages. Docker to the rescue.

Read More