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Python String Split() Function: Syntax, Examples, and Use Cases Explained Best 2025

By Bhavani

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Python String Split() Function

Python String Split() Function: Python’s split() function is a powerful tool for string manipulation. It helps break a string into multiple substrings based on a specified delimiter or character. In this guide, we’ll explore the syntax, use cases, and examples to help you understand the split() function in detail.

Python String Split() Function: The split() function divides a string into smaller substrings. It returns these substrings as elements of a list. If no delimiter is specified, whitespace is used by default.


python

string.split(separator, max)

  • separator (Optional): The delimiter used to split the string (e.g., comma, space, etc.).
  • max (Optional): The maximum number of splits to perform.

Return Value:
The function returns a list of substrings.


  • Efficiently splits long strings or sentences into smaller parts.
  • Handles both default whitespace splitting and custom delimiters.
  • Provides flexibility with the maxsplit parameter for controlled splits.

python

text = “Hello World Software Moji Moji”

print(text.split())  

css

[‘Hello’, ‘World’, ‘Software’, ‘Moji’, ‘Moji’]


python

text = “Hello,World,Software,Moji,Moji”

print(text.split(“,”))

css

[‘Hello’, ‘World’, ‘Software’, ‘Moji’, ‘Moji’]


python

text = “Hello World Software Moji Moji”

print(text.split(“l”))

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[‘He’, ”, ‘o Wor’, ‘d Software Moji Moji’]


python

text = “Hello World Software Moji Moji”

list_1 = text.split()

for word in list_1:

    print(word)

nginx

Hello

World

Software

Moji

Moji


python

text = “Hello,World,Software,Moji,Moji”

print(text.split(“,”, 2))

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[‘Hello’, ‘World’, ‘Software,Moji,Moji’]


python

text = “Hello World Software Moji Moji”

split_1 = text.split(“Software Moji”, 1)

print(split_1)

css

[‘Hello World ‘, ‘ Moji’]


  • Useful in text data processing and text mining projects.
  • Helps manage and manipulate strings effectively.
  • Ideal for handling CSV files, data extraction, and data cleaning tasks.

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