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When you multiply each element of a list, you create a new list with each value from the original list multiplied by a specific number.

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## The for loop for multiplication

The simplest way to do it is to use them for a loop.

```
numbers = []
for x in range(10):
numbers.append(x*2)
print(numbers)
```

Each number inside a range is multiplied by 2 and added to a list.

[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]

## The for loop to create a list of squares

We can quickly modify this example, so it’s going to add squared numbers to a list instead of multiplied. Just add another star inside the append function to create a squared number.

```
squares = []
for x in range(10):
squares.append(x**2)
print(squares)
```

If you run the code you are going to have a list of squared values.

[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

If you want numbers raised to the power of 3, you have to use x**3.

## List comprehension

List comprehension is available in some programming languages, such as Python.

The common application of the list comprehension is to make a new list as a result of the operation applied to each member of the original list, using the syntax that is more compact than with a standard loop.

The code from the previous examples for numbers can be written this way.

```
numbers = [x*2 for x in range(10)]
print(numbers)
```

You can also use the lambda function to achieve the same result.

```
numbers = list(map(lambda x: x*2, range(10)))
print(numbers)
```

## Using NumPy

Another way to multiply elements of a list is to use the NumPy library.

```
import numpy
numbers = range(10)
numpy_array = numpy.array(numbers)
new_array = numpy_array * 2
print(new_array)
```

This code is going to create a NumPy array and then it will be multiplied by 2.

[ 0 2 4 6 8 10 12 14 16 18]

Of course, using NumPy for such a simple example doesn’t make much sense. I just wanted to show you that this is also an option.