List is one of the most commonly used data structures provided by python. List is a data structure in Python that is mutable and has an ordered sequence of elements. In this article, we will discuss how to add objects to a list and the different ways to add objects, such as append(), insert(), and extend() methods, in Python. Using append() method In this method, we use append() to add objects to a list. The append() method adds a new element to the end of a list that already exists. Example 1 In this example, we used the append() method ... Read More

List is one of the most commonly used data structures provided by Python. List is a data structure in Python that is mutable and has an ordered sequence of elements. Here is a simple example of a list of integer values - lis= [1, 2, 3, 4, 5] print(lis) If you execute the above program, it produces the following output [1, 2, 3, 4, 5] In this article, we will look at different ways to find the maximum of the list in Python. For the above list the maximum or largest element of the list is 5. Using ... Read More

In this chapter, we will understand character classes, how they work. and provide simple examples and programs to explain their usage. One of the main components of regular expressions is character classes or character sets. Character classes help you to define a set of characters that will match in a string. They can be used to define a range of characters or specific characters to consider during a search. Character Classes or Character Sets A "character class, " also known as a "character set, " which helps you inform the regex engine to match only one of numerous characters. Simply ... Read More

The Tutorialspoint coding environment normally helps you to run Python code directly in your browser, but the capacity to import external modules can be limited. Importing Python Module So you can use Python's built-in libraries and modules. To load a module into the Python IDE environment on tutorialspoint, follow the steps below - Step 1: First of all, you need to open the Tutorialspoint Python IDE. So, go to the Tutorialspoint Python IDE. ... Read More

When learning different programming languages, you may come across terms like untyped and dynamically typed. While they may sound similar but they have different concepts in how programming languages manage data types. In this article, we will see these concepts in simple terms with simple examples. Untyped Language Untyped programming languages do not have a strict definition of data types. This allows you to use values without providing the data type. The interpreter or execution environment will handle everything anyway it considers a match. Example Let us look at an example that uses an untyped language - # ... Read More

In this article we will be using Regular Expression to get zero or more occurrences within the pattern. Regular expressions (regex) are important features to identify patterns in text. In Python, the re module provides support for working with regex. The concept of zero or more occurrences is a key regex feature. This means that a pattern can appear somewhere between zero and an infinite number of times. Zero or More Occurrences? In regex, the * symbol denotes zero or more instances of the preceding element. For example, the pattern a* will match - ... Read More

In this article, we are going to discuss how to use regular expressions in place of a string.replace() method. As you may know, Python's built-in string.replace() method is used to replace given substrings in a string. But when we need more complex replacement features so Python's re (regular expressions) module is very helpful. Regular expressions allow us to search for patterns and replace them with precise values, which makes string manipulation simpler. Why Use Regular Expressions? While string.replace() works well for simple tasks, it has its limitations, like it can only replace exact substrings and has limited ability to use pattern ... Read More

In this article, we will see the concept of B-regular expressions in Python. Regular expressions (regex) are a useful tool for matching patterns in strings. In Python, the re module helps you to work with regex patterns. What is a B Regular Expression? A 'B' regular expression is a type of regex that searches and matches particular patterns within a string. For example, it can be used to find out whether a string starts or ends with a given letter or whether it matches the pattern's set criteria. Use the re Module For using regular expressions in Python, you need ... Read More

The re module provides tools while working with Python's regular expression (regex), which allows us to search for any specific pattern within the strings. Using the 're' module provides two functions named match() and search(),  which accept a pattern (regular expression) and return True or False. The match() function returns 'None' if no pattern is detected, or it returns the match in the form of an object (in case of a match). In addition to these, we can also use the fullmatch() function to get a boolean result from a regular expression. ... Read More

Regular expressions are a useful tool for searching and manipulating strings in Python. Among the several patterns and methods available, the [d+] expression is used to match one or more digits in a string. In this article, we will go over the [d+] regular expression pattern, the way it is used, and five code examples with step-by-step explanations to help you understand and apply it to your Python projects. Understanding the [d+] Pattern Before we see the code examples, let us first understand the [d+] pattern. So basically [d+] is a combination of two elements - ... Read More