Check odd or even
The provided Python program is designed to determine whether a given inputted number is odd or even. It defines a function, check_odd_even, which takes an integer argument and uses the…
The Future, Built by Students.
The provided Python program is designed to determine whether a given inputted number is odd or even. It defines a function, check_odd_even, which takes an integer argument and uses the…
The provided Python code consists of two examples showcasing division operations. In the first example, two variables, num1 and num2, are assigned the values 48 and 6 respectively. The code…
The provided Python code demonstrates how to perform multiplication of numbers using the * operator. It begins by assigning two numerical values, num1 and num2, and calculates their product, storing…
The provided Python code demonstrates the implementation of subtraction operations. Two examples are given to showcase subtraction with both integers and floating-point numbers. In the first example, two integer variables,…
The provided Python code defines a function named is_leap_year that determines whether a given year is a leap year or not. The function takes an integer representing the year as…
The provided Python code offers two implementations for generating Fibonacci numbers: a recursive approach and an iterative approach. In the recursive solution, the function fibonacci_recursive takes a positive integer n…
The provided Python code offers two distinct approaches for sorting a list of numbers in descending order. The first method involves using the sort() method, which directly modifies the original…
The provided Python code demonstrates how to sort a list of numbers in ascending order. It utilizes the sorted() function, which returns a new list containing the sorted elements of…
The provided Python code is a simple program that performs the addition of two numbers. The user is prompted to input two numeric values, and the program converts these inputs…
Learn how to use Python for data science with steps for setting up your environment, analyzing data, visualizing insights, and building machine learning models.