Dynamic binding in Python refers to the process where the method or function being invoked is determined at runtime, rather than at compile time. It is a core concept in …

Reflection in Python refers to the ability of a program to inspect and manipulate objects, classes, methods, and attributes at runtime. Python’s dynamic nature makes reflection a powerful feature that …

A Singleton is a design pattern that restricts the instantiation of a class to a single instance. In other words, no matter how many times you try to create an …

List comprehension is a concise and powerful way to create lists in Python. It allows you to generate new lists by applying an expression to each element in an existing …

In Python, sorting lists is a common task, and Python provides several ways to sort lists efficiently. Python allows you to sort lists either in-place (modifying the original list) or …

In Python, lists are mutable, meaning that you can change their contents after they are created. Sometimes, you may want to create a copy of a list to preserve the …

In Python, lists are ordered, mutable collections of items. Sometimes you may need to join lists—that is, combine multiple lists into a single list. Python provides several methods to join …

In Python, sets are unordered collections of unique elements. Sets are mutable, meaning you can add, remove, or modify their elements after creation. When working with sets, you may need …

In Python, sets are unordered collections of unique elements. Unlike lists or tuples, sets do not allow duplicate values, and they are ideal for operations that require membership testing, uniqueness, …

In Python, tuples are ordered collections of elements that are immutable, meaning their contents cannot be changed once created. However, you can create new tuples by joining or concatenating two …