In this tutorial, we will learn how to multiply integer (int) and floating-point (float) numbers in Python.

Both of these data types are used in various operations while performing calculations, and it is essential to understand the basics of arithmetic operations on them.

Python makes it simple to perform such operations by not requiring explicit typecasting in most cases, unlike some other programming languages.

### Step 1: Understanding the data types

**Integers**: Whole numbers, either negative or positive, are known as integers. In Python, we use the **int** data type to represent them. For example: 3, -5, 45 are integers.

**Floating-Point Numbers**: Numbers with a decimal point are called floating-point numbers. In Python, we use the **float** data type to represent them. For example: 2.5, 0.003, -5.5 are floating-point numbers.

### Step 2: Multiplying integers and floats

Python allows us to multiply integers and floating-point numbers directly without the need for explicit type conversion. You can multiply an integer and a float simply by using the ***** operator.

Here’s a simple example:

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integer_num = 3 float_num = 2.5 result = integer_num * float_num |

The variable `result`

will have the value of the product of `integer_num`

and `float_num`

.

### Step 3: Printing the output

To display the result of the multiplication, you can use the **print()** function. You can either display the result directly or format the output using f-strings, which allows embedding expressions inside string literals, using curly braces {}.

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print(f"{integer_num} multiplied by {float_num} equals {result}") |

## Full Code:

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integer_num = 3 float_num = 2.5 result = integer_num * float_num print(f"{integer_num} multiplied by {float_num} equals {result}") |

## Output:

3 multiplied by 2.5 equals 7.5

## Conclusion

In this tutorial, we learned how to multiply integers and floating-point numbers in Python. It is relatively simple to perform arithmetic operations on different data types in Python, as the language handles most of the typecasting for us. This allows for more efficient and easy-to-understand code while performing calculations.