Python Learning Route 16--tuples

Meta-grouptuples and lists are very similar. Tuples are different from lists. The tuple uses parentheses and the list is square brackets. And tuples are immutable types.
1 Creating tuples and assigning values

2 Accessing the value of a tupleAn element that accesses a tuple requires a slice operation of a tuple, and a tuple's slice operation is the same as a list.

3 Updating tuplesbecause tuples are immutable types, programmers cannot update the elements of tuples. To update a tuple, you must construct a new tuple with the old tuple fragment.

>>> Atupe = atupe[0], atupe[1]>>> atupe (1, ' both ')

4 deleting tuplesdel atuple
operation of Tuplestuples and lists, with duplicate *, connect +, member in, slice operations. same built-in functions as str,max,min,cmpbut tuples do not have a list of sort, add, replace, etc. operations, because tuples are immutable.
copy Python objects, shallow copies, and deep copiesan object assignment is actually a simple object reference. In other words, when you create an object and then assign the object to another object, Python does not copy the object, but instead copies the reference to the object. Let's take a look at a shallow copy

>>> hubby = person[:]>>> wifey = List (person) >>> [ID (x) for x in person, hubby, wifey][14003252 4226712, 140032524226784, 140032524227144]>>> hubby[0] = ' Joe ' >>> wifey[0] = ' Jane ' >>> hubby , Wifey ([' Joe ', [' Saving ', 100.0]], [' Jane ', [' Saving ', 100.0]]) >>> hubby[1][1] = 50.00>>> hubby, wifey ([' Joe ', [' saving ', 50.0]], [' Jane ', [' saving ', 50.0]]) >>> [ID (x) for x in hubby][140032524156760, 1400325241445 12]>>> [ID (x) for x in wifey][140032524223856, 140032524144512]>>>

When hubby's account balance becomes 50,wifey's account balance becomes 50. But why are the names of the two accounts different?The string is immutable, and when the account name is re-assigned, the two accounts refer to two different string objects. But the list is a mutable type, and two accounts refer to the same list object. We can judge by observing their ID values. As can be seen from the above results, two accounts refer to different objects, but the small list within two accounts is the same list object referenced. This explains our doubts.
let's see the deep copy .deep copy needs to use this function--copy.deepcopy ()

Python Learning Route 16--tuples