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Articles by Nikitasha Shrivastava
Page 3 of 6
How does the repetition operator work on a tuple in Python?
In Python, the "*" operator can be used to repeat a tuple multiple times. This is known as tuple repetition. It creates a new tuple with repeated elements but does not modify the original tuple. Following are some points to remember ? The repetition operator (*) creates a new tuple. Individual items are not repeated, only the entire tuple. The repeat count must be a non-negative integer. The original tuple is unaltered. Accepts tuples of any length and mixed data types. How Repetition Operator Works? When you apply '*' to a tuple with an integer, ...
Read MoreHow does concatenation operator work on tuple in Python?
The concatenation operator (+) is used to join two or more tuples together in Python. This operation returns a new tuple that contains all the items of the original tuples, while keeping the original tuples unchanged. In this article, we will discuss how the concatenation operator works on tuples in Python with practical examples. How Concatenation Works When you use the concatenation operator on tuples, Python creates a new tuple that includes all the elements from the tuples being concatenated. The original tuples remain unchanged since tuples are immutable in Python. The concatenation operator (+) merges ...
Read MoreHow does the \'in\' operator work on a tuple in Python?
Python offers the 'in' operator to verify that a value is present in a tuple. This operator is very useful when you are looking for items in a collection without requiring loops or complex logic. In this article, we will discuss the 'in' operator and how it works on tuples in Python. Before moving on, we will first discuss tuples. Tuples in Python are an immutable sequence, and they are created by placing a sequence of values separated by a 'comma', with or without the use of parentheses for data grouping. Tuples can have any number of elements ...
Read MoreWhat is the difference between a python tuple and a dictionary?
Python offers many built-in data structures like lists, tuples, sets, and dictionaries, which are used to store and manage data easily. In this article, we will discuss the difference between a Python tuple and a dictionary. Tuple Tuples are a data type that belongs to the sequence data type category. They are similar to lists in Python, but they are immutable. We can't change the elements of a tuple, but we can execute a variety of actions on them, such as count, index, type, etc. Tuples are created in Python by placing a sequence of values separated ...
Read MoreHow to declare a variable in Python without assigning a value to it?
Python variables are names that refer to objects in memory. Normally, you assign a value when creating a variable, but sometimes you need to declare a variable without an initial value. Python provides several approaches to accomplish this. For example, a = 100 creates a variable a pointing to an integer object with value 100. But what if you want to declare a without assigning a specific value? Using the None Keyword The most common approach is using None, Python's built-in null value. None is a special object of type NoneType that represents the absence of a ...
Read MoreWhat is the difference between working of append and + operator in a list in Python?
In this article, we will see the differences between two common ways of adding elements to lists in Python: the append method and the "+" operator. The append() method is used to add elements to the list by modifying the original list in place. The '+' operator is used to create a new list by concatenating existing lists. Behaviour of "+" Operator with Python Lists Python uses the '+' operator to create a new list by combining existing lists. When the '+' symbol is used, a new list is created with all elements from both ...
Read MoreWhat is a sequence data type in Python?
Sequence data types in Python are ordered collections that allow you to store and access multiple items using indexing. The three main sequence data types are lists, strings, and tuples. Each has distinct characteristics regarding mutability and the type of data they can store. Lists are mutable and can hold data of any type, strings are immutable and store only text characters, while tuples are immutable but can store any type of data. Understanding these differences is crucial for choosing the right data structure for your needs. List Lists are the most flexible sequence type in Python. ...
Read MoreHow to index and slice lists in Python?
Lists are one of the four most commonly used data structures provided by Python. A list is a data structure in Python that is mutable and has an ordered sequence of elements. In Python, a list is like a box in which you can keep many things like numbers, names, or your favorite fruits. Let us say you have a list like this ? fruits = ["apple", "banana", "mango"] print(fruits) ['apple', 'banana', 'mango'] Here, each fruit has a position in the list. But in Python, we start counting from 0, not 1. So ...
Read MoreHow does in operator work on list in Python?
The in operator in Python determines whether a given value is a constituent element of a sequence such as a string, array, list, or tuple. When used in a condition, the statement returns a Boolean result of True or False. The statement returns True if the specified value is found within the sequence. When it is not found, we get False. Syntax element in list_name Where element is the value to search for, and list_name is the list to search in. Example 1: Find One Item in Flat List The following program ...
Read MoreHow does * operator work on list in Python?
In Python, a list is an ordered sequence that can hold several object types such as integer, character, or float. The * operator has special behavior when used with lists, performing repetition instead of multiplication. This article demonstrates how the * operator works on lists in Python through practical examples and different use cases. Basic List Repetition The * operator creates multiple copies of a list and joins them together. When you multiply a list by an integer n, Python repeats the entire list n times ? # Creating a simple list numbers = [1, ...
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