How can I efficiently copy large objects in Python?
You can use the copy
module, specifically copy.deepcopy()
for nested objects, or copy.copy()
for shallow copies.
What are the performance implications of using deepcopy?
deepcopy
can be slower than copy
because it recursively copies all objects. It's best for complex, nested structures.
Are there any alternatives to deepcopy for large data structures?
Yes, you can use serialization methods like pickle
or json
to copy large objects, but be mindful of data types.
Can you show me an example of using pickle to copy an object?
Sure! Here's a simple example:
import pickle
original = {'key': 'value'}
# Serialize
copied = pickle.loads(pickle.dumps(original))
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