Question: 17
(Choose 1 answer)
What is the purpose of containerization tools like Docker in the context of data science workflows?
A. Storing and managing large datasets
B. Providing a consistent environment for code execution
C. Creating 3D visualizations of data
D. Managing virtual environments for different projects
