# 102 | Copy Vs Shallow Copy vs Deep Copy in Python | Python Tutorial in Tamil

Copy Vs Shallow Copy vs Deep Copy in Python | Python Tutorial in Tamil

A shallow copy creates a new object which stores the reference of the original elements.

So, a shallow copy doesn't create a copy of nested objects, instead it just copies the reference of nested objects. This means, a copy process does not recurse or create copies of nested objects itself











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[sriramss]

It's very clear and I will never forget this concept after watching this video.

[samusathish]

Superb explanation sir. Got confusion with copy and deepcopy. Watched many videos. My doubt got cleared only after watching your video. Well explained patiently. Thank you sir.

[poorni.c]

This video watch again and again..finally clear understand about this

[dharanivijayakumar]

Anna super Ennakku clear ra understand panni kitta ....tq so much Anna

[saisuba-vy]

i watched many videos about this topic but i didn't get any idea....then i thought okay lets watch motherlanguage(tamil) then only i will get idea...after that i searched ..i saw ur explanation many videos

[narakavidk]

Clear and cut explanation.. didn't expect

[theyaghu]

I understand this copies
Anna oru help pls tell me the difference between append and extend
because both are able to insert more then 1 elements in a list then what is difference between them ?

[hanush]

ithu list la mattum tha implement panna mudiyuma ?

[tamildev_]

Screen sariya theriyala bro increase the font size and focus the cam on the area where you are typing

[MegaRaja-eilw]

Sir please explain the deep copy once again

[naveen.a]

Bro python la threading basic soluga bro

[naveen.a]

Bro python la threading puriyala bro enoru video potuka bro pls 🙏🙏🙏🙏🙏

[premkumarms]

Copy.deepcopy() - It work on the nested list and able to see the index[0] on both variable memory address changes, but in the normal list I won't see any difference. Kindly clarify my doubts.
a = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
b = ""
b = copy.deepcopy(a)

b
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]
id(a)
1667465466688
id(b)
1667465465600
id(a[0])
1667465407040
id(b[0])
1667465329024
c = [1, 2, 3, 4, 5]
id(c)
1667465399744
d = copy.deepcopy(c)
d
[1, 2, 3, 4, 5]
id(d)
1667465467264
id(c)
1667465399744
id(c[0])
1667424256240
id(d[0])
1667424256240