Python is hotter than ever π₯, and in 2025, companies are raising the bar even higher for devs who want to stand out. Whether youβre prepping for yo...
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One of the most interesting questions from the article is: βWhat is the difference between deep copy and shallow copy in Python?β Can you explain how these two differ?
Great question! Understanding the distinction between shallow and deep copies is crucial in Python, especially when dealing with mutable objects like lists or dictionaries.
Shallow Copy: Creates a new object, but inserts references into it to the objects found in the original. This means that changes to nested objects in the copy will reflect in the original.
Deep Copy: Creates a new object and recursively copies all objects found in the original. This ensures that changes in the copy do not affect the original object.
Here's a simple example:
Output:
As you can see, modifying the shallow copy affected the original, while changes to the deep copy did not.
Thank you, Hadil....! π
Your explanation is super clear and the example really helps to understand the difference between shallow and deep copies. The output comparison makes it all click perfectly!
This distinction is definitely something to keep in mind when working with nested data structures.
You're welcome ππ» If you have any specific topics or questions you'd like to see covered in future articles, feel free to let me know.
Very nice article. Thank you for sharing ππ
You're welcome ππ»
I conduct interviews myself, and I must say this list looks great . I'll definitely be sharing it with my colleagues. As always, I'm a big fan of @hadil articles. Keep up the great work!π
Thank you so much for your encouragement Sanjay. I'm so happy you like my articles π
This article was really great! The questions are very comprehensive and practical, especially for those looking to enhance their Python skills and prepare for professional interviews. π
Thank you so much for your kind words Mahdi! ππ» I'm thrilled to hear that you found the article comprehensive and practical. My goal was to provide a resource that helps developers at various levels prepare effectively for Python interviews.