Table of Contents
1. Slicing basics
2. Slicing techniques
IndexBasics" >3. IndexBasics
4. Indexing techniques
Home Backend Development Python Tutorial Tips on using Python slicing and indexing: Master the tips to make your code more concise and efficient

Tips on using Python slicing and indexing: Master the tips to make your code more concise and efficient

Feb 19, 2024 pm 05:21 PM
python list string index slice tuple

Tips on using Python slicing and indexing: Master the tips to make your code more concise and efficient

1. Slicing basics

Slicing is a way to obtain consecutive elements in a sequence. The syntax of slicing is as follows:

序列[start:stop:step]
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in:

  • start: The starting position of the slice, counting from 0. If omitted, defaults to 0.
  • stop: The end position of the slice, but not including the element at that position. If omitted, it defaults to the length of the sequence.
  • step: The step size of the slice, that is, how many elements are skipped each time. If omitted, defaults to 1.

For example, the following code will get the second and third elements in the list [1, 2, 3, 4, 5]:

my_list = [1, 2, 3, 4, 5]
print(my_list[1:3])
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Output:

[2, 3]
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2. Slicing techniques

The following are some slicing techniques that can help you write more concise and efficient code:

  • Use negative indexes to access the sequence from back to front. For example, the following code will get the last two elements in the list [1, 2, 3, 4, 5]:
my_list = [1, 2, 3, 4, 5]
print(my_list[-2:])
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Output:

[4, 5]
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  • Use None to indicate the starting or ending position of the slice. For example, the following code will get all elements in the list [1, 2, 3, 4, 5]:
my_list = [1, 2, 3, 4, 5]
print(my_list[:])
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Output:

[1, 2, 3, 4, 5]
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  • Use stride to skip elements in the sequence. For example, the following code will get the odd elements in the list [1, 2, 3, 4, 5]:
my_list = [1, 2, 3, 4, 5]
print(my_list[::2])
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Output:

[1, 3, 5]
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Indexing is a way to obtain a single element in a sequence. The syntax of the index is as follows:

序列[index]
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in:

  • index: The index of the element to be obtained. The index can be a positive integer, a negative integer, or None.

For example, the following code will get the second element in the list [1, 2, 3, 4, 5]:

my_list = [1, 2, 3, 4, 5]
print(my_list[1])
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Output:

2
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4. Indexing techniques

The following are some indexing tips that can help you write more concise and efficient code:

  • Use negative indexes to access the sequence from back to front. For example, the following code will get the last in the list [1, 2, 3, 4, 5]

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