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Are you familiar with the copy module in Python and have you used it in your projects?

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Answer from AI

The copy module in Python is used for creating copies of objects. It provides two main functions:

  • copy.copy() — shallow copy, which creates a new object but nested objects remain references to the original.
  • copy.deepcopy() — deep copy, which recursively copies all nested objects, creating a completely independent copy.

I used the copy module in tests when I needed to create independent data instances for verification without affecting the original objects. For example:

import copy

original = {'a': [1, 2, 3], 'b': 4}
shallow = copy.copy(original)
deep = copy.deepcopy(original)

shallow['a'].append(4)
print(original['a'])  # Outputs [1, 2, 3, 4], since the list is shared

deep['a'].append(5)
print(original['a'])  # Outputs [1, 2, 3], original remains unchanged

This helps avoid side effects during testing.

Are you familiar with the copy module in Python and… - sobes.tech