Instructor: Sebastian Urchs
Outline
- Learn why containerization and virtualization are important for research projects.
- Have an overview of different solutions to create isolated environments.
- Get some basic hands on experience with and Docker.
Questions you will be able to answer after taking this module
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When working with the file system inside a Docker container, which statements are true?
- I cannot see files on the host system from inside the container
- files written into the container file system are lost with the container
- I can mount paths on the host system into the container to expose their contents to it
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What is an advantage of Docker over a Virtual Machine?
- a Docker container can run any operating system, independently of the host operating system
- Docker is a good choice for shared systems because of its high level of security
- Docker containers are easier to specify, build, and manage and have better sharing infrastructure
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What is the difference between a Docker container and a Docker image?
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A Docker container is a registry service to store and share Docker images
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A Docker image is a read-only snapshot and a Docker container is a running instance of it
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A Docker container is a read-only snapshot that can be easily shared (e.g. on Dockerhub) and from it, many live Docker images can be spawned
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What is an advantage conda has over pip for Python environments?
- conda is usually prepackaged with Python, so you don’t have to install anything
- conda has more Python packages than pip because of the Anaconda distribution
- conda can resolve non-Python dependencies and can also create virtual environments
