What are the benefits of using containerization in Python?
Containerization in Python allows for consistent environments, easier deployment, and better resource management.
Can you explain how it improves deployment?
It simplifies deployment by packaging applications with their dependencies, ensuring they run the same way in any environment.
What tools can I use for containerization?
Popular tools include Docker, Kubernetes, and Podman, which help in creating and managing containers.
Are there any downsides to using containerization?
Some downsides include added complexity and potential performance overhead, but these are often outweighed by the benefits.
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