The Python tuple elements are enclosed inside the parentheses, while dictionary elements are present in the form of a key-value pair and are enclosed between curly brackets. In this article, we will show you how to convert a Python tuple into a dictionary. The following are the methods to convert a tuple into a dictionary - Using dict() Function Using Dictionary Comprehension and enumerate() Function ... Read More

Python provides a variety of data structure collections such as lists, tuples, sets, and dictionaries. However, these tuples are very similar to lists. Because lists are a commonly used data structure, developers frequently mistake how tuples differ from lists. Python tuples, like lists, are a collection of items of any data type, but tuples are immutable, which means that once assigned, we cannot change the elements of the tuple or the tuple itself, whereas list elements are mutable In this article, we will explain to you what is a tuple in python and the various operations on it. Creating a ... Read More

In Python, an index is an element's location within an ordered list. Where n is the length of the list, and the first entry has a zero index, and the last element has an n-1 index. In this tutorial, we will look at how to find out the index of an element in a list in Python. There are different methods to retrieve the index of an element. Using index() method Three arguments can be passed to the list index() method in Python - element: element that has to be found. start ... Read More

In Python tuples are an important data structure that allows you to group many values together. But some beginners may find it confusing to use tuples inside functions. This article will explain what tuples are and how to use them properly in functions. We will also discuss some real-world examples, from basic to complex, to help you understand. A tuple is an ordered, unchangeable collection of datatypes in Python. It means that after a tuple has been created, its values cannot be changed. Tuples are defined with parentheses "()". Example of a Tuple Here is a simple example of how ... Read More

When working with text data in Python, we normally need to interact with strings to make them readable or properly formatted. It is very common way to use regular expressions or regex to add spaces before and after a particular character. In this article we will see how to do this by using Python's re module.Adding Space at a Character Using regex Regular expressions are a powerful way to search for and modify strings based on patterns. There are multiple uses for regex that are made possible by Python's re package. Spaces between characters can improve the readability and the ... Read More

Regular expressions are a very crucial part of Python's built-in 're' module. It is used to work with text data. One of the advantages of regex is the ability to use alternatives, which allows you to match one pattern out of multiple options. Alternatives in the regular expressions function are just like "or" statements. They help you to define many patterns to match against a given string. The vertical bar | denotes the "or" operator in regex. For example, the regex pattern PHP|Python will match either "PHP" or "Python" in a given string. The following are the 4 different ways ... Read More

To extract decimal numbers from a string in Python, regular expressions are used. A regular expression is a group of characters that allows you to use a search pattern to find a string or a set of strings. RegEx is another name for regular expressions. The re module in Python is used to work with regular expressions. In this article, we will learn how to extract decimal numbers from a string in Python using regular expressions. We use the following regular expression in Python to get non-digit characters from a string - \d+\.\d+ Where, ... Read More

Backreferences in regular expressions allow us to reuse a previously recorded group inside the same regex pattern. This ability is very useful when we want to match recurrent patterns in strings. What are Backreferences? A regular expression reference to a previously recorded group is called a backreference. When parentheses "()" are used in a regex pattern, a group is formed. Each group is assigned a number; the number for the first group is 1. We can refer to these recorded groups in our regex by using the backslash \ after the group number. Basic Syntax Here is the basic ... Read More

In Python, we can use regular expressions when looking for patterns in text. So we have a useful method called groups() in Python. This method helps us to find and manage many parts of a pattern. So in this article will explain how the groups() method works. The groups() Method The match.group() function in Python's re module is used to get the captured groups after a successful regular expression match. When a regular expression uses parentheses, it creates capturing groups with the matched substrings. The match.group() method returns the captured substrings. The following is the syntax of the groups() method ... Read More

We can build regular expressions that recognize repeated character groups using a few special characters. The following metacharacters can be used to search for a character or set of repeated characters. The question mark was the first repeating operator or quantifier developed. It effectively makes it optional by instructing the engine to try matching the previous token 0 or 1 times. Matching Simple HTML Tags Using Regular Expressions The engine is instructed to try matching the previous token zero or more times by the asterisk or star. The plus instructs the engine to make one or more attempts to match ... Read More