Python Dictionaries: Explanation with Examples A dictionary in Python is an unordered collection of items that stores data in key-value pairs. Dictionaries are: Creating a Dictionary python # Empty dictionary my_dict = {} # Dictionary with initial values student = { “name”: “John Doe”, “age”: 21, “courses”: [“Math”, “Physics”, “Chemistry”], “GPA”: 3.7 } Accessing Dictionary Elements…

Sets in Python A set in Python is an unordered collection of unique elements. Sets are mutable, meaning you can add or remove items, but the elements themselves must be immutable (like numbers, strings, or tuples). Key Characteristics of Sets: Different Ways to Create Sets in Python Here are various methods to create sets in…

In Python, a tuple is an ordered, immutable (unchangeable) collection of elements. Tuples are similar to lists, but unlike lists, they cannot be modified after creation (no adding, removing, or changing elements). Key Features of Tuples: Syntax: Tuples are defined using parentheses () (or without any brackets in some cases). python my_tuple = (1, 2, 3, “hello”) or (without…

Weekly Wages Removing Duplicates even ,odd Palindrome  Rotate list Shuffle a List Python random Module Explained with Examples The random module in Python provides functions for generating pseudo-random numbers and performing random operations. Here’s a detailed explanation with three examples for each important method: Basic Random Number Generation 1. random.random() Returns a random float between 0.0 and 1.0 python import…

Python Nested Lists: Explanation & Examples A nested list is a list that contains other lists as its elements. They are commonly used to represent matrices, tables, or hierarchical data structures. 1. Basic Nested List Creation python # A simple 2D list (matrix) matrix = [ [1, 2, 3], [4, 5, 6], [7, 8, 9]…

List Comprehensions in Python (Basic) with Examples List comprehensions provide a concise way to create lists in Python. They are more readable and often faster than using loops. Basic Syntax: python [expression for item in iterable if condition] Example 1: Simple List Comprehension Create a list of squares from 0 to 9. Using Loop: python…

Python lists and their methods are used extensively in real-time applications across various domains. They are fundamental for organizing and manipulating ordered collections of data. Real-World Applications of Python Lists 1. Web Development In web development, lists are crucial for handling dynamic data. For example, a list can store user comments on a post, products…

Python List Methods: index(), count(), reverse(), sort() Let’s explore these essential list methods with multiple examples for each. 1. index() Method Returns the index of the first occurrence of a value. Examples: python # Example 1: Basic usage fruits = [‘apple’, ‘banana’, ‘cherry’, ‘banana’] print(fruits.index(‘banana’)) # Output: 1 # Example 2: With start parameter print(fruits.index(‘banana’, 2)) # Output: 3 (starts searching…

pop(), remove(), clear(), and del with 5 examples each, including slicing where applicable: 1. pop([index]) Removes and returns the item at the given index. If no index is given, it removes the last item. Examples: 2. remove(x) Removes the first occurrence of the specified value x. Raises ValueError if not found. Examples: 3. clear() Removes all elements from the list, making it empty. Examples: 4. del Statement Deletes elements by index or slice (not a method, but a…

append(), extend(), and insert() methods in Python lists, along with slicing where applicable. 1. append() Method Adds a single element to the end of the list. Examples: 2. extend() Method Adds multiple elements (iterable items) to the end of the list. Examples: 3. insert() Method Inserts an element at a specific position. Examples: Key Differences: Method Modifies List? Adds Single/Multiple Elements? Position append() ✅ Yes Single element (even if it’s a list) End…