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Advanced applications of Python slicing and indexing: reveal hidden functions and explore the infinite possibilities of programming

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Release: 2024-02-19 20:40:03
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Advanced applications of Python slicing and indexing: reveal hidden functions and explore the infinite possibilities of programming

  1. Basic syntax of slicing
In

python, use the [start:end:step] syntax to perform slicing operations, where start represents the starting position of the slice, end represents the end position of the slice, and step represents the slicing step. If start is omitted, it means slicing from the beginning of the list or string; if end is omitted, it means slicing to the end of the list or string; if step is omitted, it means the step size is 1. For example:

my_list = [1, 2, 3, 4, 5]

# 切取从第2个元素到第4个元素(不包含第4个元素)
sub_list = my_list[1:4]# [2, 3, 4]

# 从第1个元素开始切取,直到列表结束
sub_list = my_list[1:]# [2, 3, 4, 5]

# 从列表开头切取到第3个元素(不包含第3个元素),步长为2
sub_list = my_list[:3:2]# [1, 3]
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Negative number
    Index
  1. Negative indexes can be used to start slicing from the end of a list or string. Negative indexes are calculated by subtracting the absolute value of the negative index from the length of the list or string.

For example:

my_list = [1, 2, 3, 4, 5]

# 从倒数第2个元素开始切取到列表结束
sub_list = my_list[-2:]# [4, 5]

# 从倒数第3个元素开始切取到倒数第1个元素(不包含倒数第1个元素)
sub_list = my_list[-3:-1]# [3, 4]

# 从列表开头切取到倒数第3个元素(不包含倒数第3个元素),步长为2
sub_list = my_list[: -3: 2]# [1, 3]
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Combined use of slicing and indexing
  1. Slicing and indexing can be used in combination to achieve more flexible data access and modification.

For example:

my_list = [1, 2, 3, 4, 5]

# 将第2个元素替换为10
my_list[1] = 10

# 将从第2个元素到第4个元素(不包含第4个元素)替换为[11, 12]
my_list[1:4] = [11, 12]

# 将从列表开头切取到第3个元素(不包含第3个元素),步长为2,替换为[13, 14]
my_list[:3:2] = [13, 14]
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Application scenarios of slicing and indexing
  1. Slicing and indexing have a wide range of application scenarios in
programming

, including:

Data access and modification
  • Concatenation and splitting of lists and strings
  • Algorithm
  • and Data structure implementation Image and text processing
  • Network Programming
  • and Data Transmission
    Summarize
Slicing and indexing in Python

are powerful tools that can help developers easily access and modify data. More complex data manipulation and programming techniques can be implemented through the flexible combination of slicing and indexing. Proficient in the use of slicing and indexing can improve the efficiency and readability of code, and lay a solid foundation for more advanced programming techniques.

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