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In this chapter, we will be discussing some mathematical operations related to NumPy arrays.

Most of the mathematical operations on NumPy arrays are element-wise operations. For example, the element at a particular index in one 2-D Numpy array gets added/subtracted/multiplied/etc. to the element at the same index in another 2- D NumPy array.

**Addition**

The addition of two NumPy arrays is also element-wise addition.

e.g.

```
import numpy as np
a = np.array([ 20, 30, 40, 50])
b = np.arange(4)
```

Values of `b`

will be

```
array([ 0, 1, 2, 3])
c = a + b
print(c)
```

Output will be

```
array([ 20, 31, 42, 53] )
```

**Subtraction**

Subtraction between two NumPy arrays is also element-wise.

e.g.

```
import numpy as np
d = np.array([ 20, 30, 40, 50])
e = np.arange(4)
```

Values of `d`

will be

```
array([ 0, 1, 2, 3])
f = d - e
print(f)
```

Output will be

```
array([ 20, 29, 38, 47] )
```

Please follow the following steps:

(1) Import the required libraries

```
import numpy as np
```

**Addition (element-wise)**

(2) Please create a NumPy array `a_arr`

with values (60, 70, 80, 90)

```
a_arr = np.array(<< your code comes here>>)
b_arr = np.arange(4)
```

Now, we have two NumPy arrays - `a_arr`

and `b_arr`

(3) Add these two NumPy arrays (`a_arr`

and `b_arr`

), and store the result in a variable `c_arr`

```
<<your code comes here>> = a_arr + b_arr
```

(4) Print array `c_arr`

to see its values

```
print(c_arr)
```

**Subtraction (element-wise)**

(1) Please create a NumPy array `d_arr`

with values (60, 70, 80, 90)

```
d_arr = np.array(<< your code comes here>>)
e_arr = np.arange(4)
```

Now, we have two NumPy arrays - `d_arr`

and `e_arr`

(2) Subtract NumPy array `e_arr`

from array `d_arr`

, and store the result in a variable called `f_arr`

```
<<your code comes here>> = d_arr - e_arr
```

(3) Print array `f_arr`

to see its values

```
print(f_arr)
```

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