CPython implementation detail: This is the address of the object in memory.

copy — Shallow and deep copy operations — Python 3.8.2rc1 documentation https://docs.python.org/3.8/library/copy.html

Assignment statements in Python do not copy objects, they create bindings between a target and an object.

a = b = c = 1

e, d, f = 1, 1, 1

a = 4

a1 = b1 = c1 = '1'

e1, d1, f1 = '1', '1', '1'

a1 = '2'

import copy

x = copy.deepcopy(a)

z = copy.copy(a)

y = a

a = 5

x1 = copy.deepcopy(e1)

z1 = copy.copy(e1)

y1 = e1

e1 = '2'

lc = [1, [2, 3]]

lc1 = copy.copy(lc)

lc2 = copy.deepcopy(lc)

lc = [1, [2, 3, 4]]

dc = {'a':12,12:'a'}

dc1 = copy.copy(dc)

dc2 = copy.deepcopy(dc)

dc = {'a':123,12:'ab'}

dcr = {'a':12,12:'a'}

dcr0=dcr

dcr1 = copy.copy(dcr)

dcr2 = copy.deepcopy(dcr)

dcr = {'a':123,12:{1:1,'a':'a'}}

dcrr = {'a':123,12:{1:1,'a':'a'}}

dcrr0=dcrr

dcrr1 = copy.copy(dcrr)

dcrr2 = copy.deepcopy(dcrr)

dcrr = {'a':123,12:{11:1,'aa':'aa'}}

t = 7

上述赋值语句 右边值的改变均没有引起左边值的改变。

The difference between shallow and deep copying is only relevant for compound objects (objects that contain other objects, like lists or class instances):

A shallow copy constructs a new compound object and then (to the extent possible) inserts references into it to the objects found in the original.

A deep copy constructs a new compound object and then, recursively, inserts copies into it of the objects found in the original.

Two problems often exist with deep copy operations that don’t exist with shallow copy operations:

Recursive objects (compound objects that, directly or indirectly, contain a reference to themselves) may cause a recursive loop.

Because deep copy copies everything it may copy too much, such as data which is intended to be shared between copies.

The deepcopy() function avoids these problems by:

keeping a memo dictionary of objects already copied during the current copying pass; and

letting user-defined classes override the copying operation or the set of components copied.

关于Python中的引用 - 东去春来 - 博客园 https://www.cnblogs.com/yuyan/archive/2012/04/21/2461673.html

x,y=1,2

x,y=y,x+y

生成器 - 廖雪峰的官方网站 https://www.liaoxuefeng.com/wiki/1016959663602400/1017318207388128

注意，赋值语句：

a, b = b, a + b

相当于：

t = (b, a + b) # t是一个tuple

a = t[0]

b = t[1]

但不必显式写出临时变量t就可以赋值。

The deepcopy() function avoids these problems by:

keeping a memo dictionary of objects already copied during the current copying pass; and

letting user-defined classes override the copying operation or the set of components copied.

This module does not copy types like module, method, stack trace, stack frame, file, socket, window, array, or any similar types. It does “copy” functions and classes (shallow and deeply), by returning the original object unchanged; this is compatible with the way these are treated by the pickle module.

Shallow copies of dictionaries can be made using dict.copy(), and of lists by assigning a slice of the entire list, for example, copied_list = original_list[:].

Classes can use the same interfaces to control copying that they use to control pickling. See the description of module pickle for information on these methods. In fact, the copy module uses the registered pickle functions from the copyreg module.

In order for a class to define its own copy implementation, it can define special methods __copy__() and __deepcopy__(). The former is called to implement the shallow copy operation; no additional arguments are passed. The latter is called to implement the deep copy operation; it is passed one argument, the memo dictionary. If the __deepcopy__() implementation needs to make a deep copy of a component, it should call the deepcopy()function with the component as first argument and the memo dictionary as second argument.

See also

Module pickleDiscussion of the special methods used to support object state retrieval and restoration.