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Introduction — In Python, data structures are used to store important data information in a project. The Python language has a variety of built-in data structures, such as lists, tuples, dictionaries, and collections. In this lesson we will look at one of the most important data structures in Python: tuples.

In Python, we can think of tuples as a special kind of list. The only difference between a list and a tuple is that the data elements in a tuple cannot be changed. . When we want to create an immutable set of data, we usually put the data into a tuple

1. Tuple creation && access

(1) Tuple creation:

In Python, the basic form of creating a tuple is to enclose data elements in parentheses “()”, separated by commas “, “. As follows:

tuple1 = ('xiaoming'.'xiaohong'.18.21)
tuple2 = (1.2.3.4.5)

You can create empty tuples.
tuple3 = ()

# Note - If you create a tuple that contains only one element, don't forget to put a comma after the element. Let it be identified as a tuple:
tuple4 = (22.)Copy the code

(2) Visit:

Tuples are similar to strings and lists in that indexes start at 0 and can be cut and combined. As follows:

tuple1 = ('xiaoming'.'xiaohong'.18.21)
tuple2 = (1.2.3.4.5)

Display the value of the element with index 1 in the tuple
print("tuple1[1]:", tuple1[0])

Display the values of the elements indexed from 1 to 3 in the tuple
print("tuple2[1:3]:", tuple2[1:3])
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2. Tuple modification && deletion

(1) Modification of tuples:

Although tuples are said to be immutable at the beginning, there is one supported operation that concatenates tuples:

tuple1 = ('xiaoming'.'xiaohong'.18.21)
tuple2 = (1.2.3.4.5)

tuple_new = tuple1 + tuple2
print(tuple_new)
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(1) Tuple deletion:

Although tuples are immutable, the entire tuple can be deleted with the DEL statement. As follows:

tuple1 = ('xiaoming'.'xiaohong'.18.21)

print(tuple1)		# Print tuple1 normally

del tuple1

print(tuple1)		# Tuple1 was deleted from the list.
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