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Python slicing and indexing: explain it in simple terms, learn it well and your code will improve to a new level

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Python 切片与索引:深入浅出,学好它你的代码会提升一个等级

python Slicing and Indexing are special operations for sequence types, including lists, tuples and strings . Slicing is used to extract a portion of an existing sequence, while indexing is used to access a single element in a sequence. By combining these two features, you can easily manipulate data and perform various tasks.

slice

Slicing uses square brackets [] to indicate the part to be extracted. You can specify one or more values ​​within square brackets to specify the range to extract. The syntax is: [start:stop:step].

  • start: Specify the starting position of the slice. If omitted, starts from the beginning of the sequence.
  • stop: Specify the end position of the slice. If omitted, this goes to the end of the sequence.
  • step: Specify the step size for extracting elements. If omitted, 1 means to extract all elements.

The following demonstrates how to use slices:

# 从列表中提取前三个元素
my_list = [1, 2, 3, 4, 5]
print(my_list[:3])# [1, 2, 3]

# 从列表中提取从第三个元素到第五个元素
print(my_list[2:5])# [3, 4, 5]

# 从列表中提取从第三个元素开始到末尾,步长为 2
print(my_list[2::2])# [3, 5]

# 从列表中提取从末尾向前提取三个元素
print(my_list[-3:])# [3, 4, 5]

index

Indices use square brackets [] to access individual elements in a sequence. You can specify the index value in square brackets to select the element to access. Index values ​​can be positive integers (starting at 0) or negative integers (starting at -1).

The following demonstrates how to use indexes:

# 访问列表中的第一个元素
print(my_list[0])# 1

# 访问列表中的最后一个元素
print(my_list[-1])# 5

# 访问列表中的第三个元素
print(my_list[2])# 3

# 访问列表中的倒数第三个元素
print(my_list[-3])# 3

Combining slicing and indexing

You can also use a combination of slicing and indexing to access specific elements in a sequence. For example, the following code will access the second element in the list from the third to the fifth element:

print(my_list[2:5][1])# 4

With flexible use of slicing and indexing, you can easily and efficiently manipulate Python sequence data.

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