String functions in Python are used to modify information with a string or query. Python has string functions that handle strings directly
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Python upper() Python upper() is a built-in string handling technique. Python’s upper() function can be used to transform all case-based characters in a string to uppercase. The upper() method returns a duplicate of an original string with all characters in uppercase. The...
Decodes the string using the codec registered for encoding. encoding defaults to the default string encoding. errors may be given to set a different error handling scheme. The default is 'strict', meaning that encoding errors raise UnicodeError. Other possible values are 'ignore', 'replace' and...
The NumPy library has various numerical functionalities, including object repetition. Thenumpy.repeat()function repeats a given object in a Python array. The syntax is: numpy.repeat(string, number) The operation result is an array with string elements. Join the array elements on an empty string ...
One of them being the Python rjust() function that is a common string handling method. We will learn more about Python rjust() and its programming applications in the article below. Definition Python rjust() is a built-in function that returns a right-justified string accor...
Python offers easy and simple functions for string handling. The easiest way to replace all occurrences of a given substring in a string is to use the replace() function. If needed, the standard library's re module provides a more diverse toolset that can be used for more niche problems li...
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Strings in Python have a unique built-in operation that can be accessed with the%-operator. It’s a shortcut that lets you do simple positional formatting very easily. If you’ve ever worked with a printf-style function in C, you’ll instantly recognize how this works. Here’s a simple...
Because of this, all functions in this module will scale linearly to the string length. Whenever possible, they will only traverse the string for as long as needed and return early as soon as the requested output is generated. For example, the grapheme.slice function only has to traverse ...