Introduction to Machine Learning Packages Machine learning packages are integral tools that facilitate the development and deployment of machine learning

The next topic is the For Loop. The for loop in Python is used to iterate over a sequence (like

The next topic is Lists, Tuples, Dictionaries, and Sets in Python. These are the core data structures used to store

Programs for Nested Functions Program 1: Basic Nested Function for Greeting def greet(name): """Outer function that defines a nested greeting

Applications of Lambda Functions - Programs Program 1: Sorting a List of Tuples Based on the Second Element # List

Programs for Lambda Functions within Functions Program 1: Function with a Lambda Expression for Customizable Mathematical Operations def math_operation(x, y,

Lambda Functions - Programs Program 1: Simple Lambda Function for Addition # Lambda function for adding two numbers add =

Programs for Creating and Using a Custom Module Step 1: Create a Custom Module (mymodule.py) Create a file named mymodule.py

The next topic is Package-Based Functions for the following modules: math, random, pickle, and csv. Each module will have 10

Built-in Functions (20 Programs) Program 1: abs() - Absolute Value of a Number Program: def absolute_value(num): """Return the absolute value

The next topic is Pattern Programs. Pattern programs are a great way to demonstrate the power of loops and how

The next topic is Prime Number Programs, where we focus on writing programs to identify prime numbers and perform tasks

The next topic is Strings in Python. Strings are one of the most commonly used data types in Python and

Type Casting Programs (5 Programs) Program 1: Convert String to Integer and Perform Arithmetic Operations Program: # Define a string

User-Defined Functions (With Parameters) - Programs 1–10 Program 1: Calculate the Area of a Rectangle Program: def calculate_area(length, width): """Calculate