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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, Python duplicates the ... Read More
The concatenation operator (+) is basically 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. In this article, we will discuss how the concatenation operator works on tuples in Python. But first, let us see how concatenation works. 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. As you may know, tuples in Python are immutable means their values cannot be changed ... Read More
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 and any ... Read More
Tuples in Python are immutable, which means once we create them, we can not change their items. In this article, we will discuss why tuples are immutable before moving on, and we will understand tuples in detail. Tuples in Python Tuples are a data type that belongs to the sequence data type category. They are similar to lists in Python, but they have the property of being immutable. We can't change the elements of a tuple, but we can perform operations suchas counting the number of elements, accessing elements using an index, retrieving the type of the elements, etc. Tuples ... Read More
Yes, it is recommended to define multiple Python classes in a single file. If we define one class per file, we may end up creating a large number of small files, which can be difficult to keep track of. Placing all the interrelated classes in a single file increases the readability of the code. If multiple classes are not interrelated, we can place them in different files (improves maintainability and scalability). What is a Python class? In Python, a class is a collection of objects. It is the blueprint from which objects are being created. It is a logical entity ... Read More
Strings are the essential data types used in many real-world problems that involve analysing and manipulating text data. In this article, we are going to learn about finding the longest repetitive sequence in a string. The Repetitive sequence refers to a substring that appears more than once in the given string. For performing this task, Python provides built-in features. Using Suffix Array and LCP A suffix array is used to store all the suffixes of the given string in lexicographic order. In this approach, we will consider the input string and create a list of all ... Read More
In Programming, it is useful to repeat or pad a string up to a certain length. Whether generating the formatted output, filling templates, or being able to repeat the string to a specific length can save time. In this article, we are exploring an efficient way to repeat a string to a certain length. Python provides various ways, such as using multiplication, string slicing, and built-in methods like ljust(), rjust(), and zfill(). Using String Multiplication The first approach is by using the * operator. Here, we are going to repeat the string to a specific length using the ... Read More
In many programming languages, trying to access the element that is out of range of a string or list results in the IndexError. But Python behaves differently when it comes to substring slicing. Instead of generating the error, Python handles the out-of-range in slicing operations by adjusting the indices to fit the valid limits. This makes the Python slicing safe and appropriate. Let's dive into the article to understand how slicing with out-of-range indices works in Python with examples. Python slice() Function The Python slice() function is used to return the slice object that can be used ... Read More
This article will explain how decimal fixed-point and floating-point arithmetic work in Python, which is useful for performing accurate calculations in various applications. Numbers in Python can be stored in two ways: floating-point and decimal fixed-point. Floating-point numbers are fast but can sometimes be incorrect because of how computers store them. On the other hand, Decimal fixed-point numbers are more accurate and useful when working with precise calculations. By the end of this article, you will understand how both types of numbers work, when to use them, and how to write programs using them. Floating-Point Arithmetic The following example will ... Read More
In this article, we will talk about creating iterators for efficient looping in Python functions. An iterator is something that helps you go through all the items one by one, like going through pages of a book one page at a time. In Python, we can use lists, tuples, dictionaries, and sets as iterators. So we will explore Python functions that generate iterators for efficient looping. Creating Iterators with Functions Python provides different ways to create iterators using functions. So let us see some examples of creating iterators for efficient looping in Python functions - Using Generator Functions Using ... Read More