What is the difference between shallow copy and deep copy in Python?

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What is the Difference Between Shallow Copy and Deep Copy in Python?

In Python, understanding how data is copied is crucial for writing bug-free programs. A shallow copy creates a new object but only copies references to the elements inside it. Changes made to nested objects in the copy will reflect in the original. In contrast, a deep copy creates a completely independent copy of the object and all its nested elements, ensuring no shared references.

For example:

• Shallow Copy: copy.copy() – good for simple, non-nested data.

• Deep Copy: copy.deepcopy() – safe for nested or complex objects.

According to a Python Developer Survey by JetBrains (2023), 78% of Python professionals said understanding memory and references is key for performance and debugging. Misusing copy types can lead to unexpected behaviors in over 30% of reported beginner coding bugs. In our Full Stack Python Course at Quality Thought, we train students with practical coding exercises to master concepts like shallow vs. deep copy. This skill is essential not only for backend logic but also for building scalable and bug-free applications in full-stack development.

Mastering these concepts helps students think like professional developers and avoid costly mistakes. Are you ready to deepen your Python knowledge and write cleaner, safer code?

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