• difference between positional and keyword arguments

    1. Positional Arguments How they work: The arguments you pass are matched to the function’s parameters based solely on their order (i.e., their position). The first argument is assigned to the first parameter, the second to the second, and so on. Example: python def describe_pet(animal_type, pet_name): “””Display information about a pet.””” print(f”\nI have a {animal_type}.”) print(f”My {animal_type}’s name…

  • Python Functions

    A function is a block of organized, reusable code that is used to perform a single, related action. Functions provide better modularity for your application and a high degree of code reusing. Defining a Function In Python, a function is defined using the def keyword, followed by the function name, a set of parentheses (),…

  • Dictionary Programs

    Frequency of User Logins Word Frequency Counter python sentence = “apple banana orange apple apple banana grape orange apple” words = sentence.split() # Split into a list of words word_count = {} # Dictionary to store word counts for word in words: if word in word_count: word_count[word] += 1 else: word_count[word] = 1 print(“Word Frequency:”)…

  • Dictionaries

    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

    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…

  • Tuples

    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…

  • Programs

    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

    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 

    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…

  • Real-World Applications of Python Lists

    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…