![]() ![]() It is the number for which the factorial needs to be calculated. ![]() Parameters Required: x represents the parameter required to be passed in the function. The internal implementation of the function is C type, thus the computation is fast. The factorial () function is defined in the math module of Python. The function factorial () is available in the Python library and can be used to compute the factorial without writing the complete code. Yes, we can calculate the factorial of a number with the inbuilt function in Python. The three possible ways through which a Python code can calculate the factorial of a positive integer are provided below. Python factorial can be calculated in various ways. How do you calculate factorials in Python? ValueError: invalid literal for int() with base 10: '3.Copy Code Copied Use a different Browser n = int (input (“Enter the number for which the factorial needs to be calculated: “) Print("The factorial of ", num, " is : ") That also takes care of negative numbers and fractional numbers scenario. ![]() We need not write the code for factorial functionality rather directly use the math.factorial(). In this case we can directly use factorial function which is available in math module. Running the above code gives us the following result − #Run1: Live Demo num = input("Enter a number: ") Running the above code gives us the following result − Enter a number: 5įactorail of 5 is : 120 Using Recurssion Example Print("Factorail of ",n, " is : ",factorial) Output This way we ensure we get positive integers in the calculation. In the below program we ask the user to enter the number and convert the input to an integer before using it in the loop. We can use a for loop to iterate through number 1 till the designated number and keep multiplying at each step. ![]() There can be three approaches to find this as shown below. The factorial is always found for a positive integer by multiplying all the integers starting from 1 till the given number. Finding the factorial of a number is a frequent requirement in data analysis and other mathematical analysis involving python. ![]()
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