What are lists in Python?

List in Python is a common data structure that can store data of the same type or different types. List is one of the most commonly used data structures in Python and can be simply understood as an ordered collection composed of a series of elements.

In Python, lists are represented by []. You can use indexes to access elements, and you can also add or delete elements to the list. Lists can contain elements of any type, including numbers, strings, variables, functions, etc.

Here are some common examples of list operations:

1. Create an empty list:

   my_list = []

2. Create a list with elements List:

   my_list = [1, 2, 3, 'apple', 'orange']

3. Get elements in the list: You can use the index operation to get the elements in the list. The index starts from 0. For example, to get the first element, you can use:

   my_list[0]

4. Modify elements in the list:

   my_list[1] = 'banana'

5. Add elements to the list:

   my_list.append('pear')

6. Add elements to the list Insert element:

   my_list.insert(2, 'pineapple')

7. Delete element in list:

   del my_list[1]

8. Get list length:

   len(my_list)

In Python, lists also support some advanced operations, such as list merging, slicing, sorting and other operations. Here are some examples of common advanced operations:

1. List merging:

   list1 = [1, 2, 3]
   list2 = ['apple', 'orange']
   list3 = list1 + list2
   print(list3)

2. List slicing:

   my_list = ['apple', 'banana', 'orange', 'pear', 'pineapple']
   print(my_list[1:3]) # 输出 ['banana', 'orange']

3. List sorting:

   my_list = [3, 5, 1, 2, 4]
   my_list.sort()
   print(my_list) # 输出 [1, 2, 3, 4, 5]

In general, the list in Python is a very commonly used data structure, which provides a series of convenient operation methods that can be quickly Data processing and management. When developing Python applications, lists are also often used for batch processing of data, parameter passing and other tasks.

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