Copying Code into and out of the Container - Developing software inside containers
Containers make it easy to set up a complex data scientist development environment. A developer can just spin up a Python, Jupyter Notebook, Spark, Hadoop, or another type of container on a local machine in minutes.
Containers can be confusing when you first work with them. Here we talk a little about how you can get code and data into your container environment and how you can get it back out.
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