Numpy is a powerful library in Python that is used for mathematical computations and manipulations. Here is how to use the numpy module in Python.
1. Installation:
Before we can use numpy, we have to install it. You can use pip, a package manager in Python to install numpy.
```
pip install numpy
```
1. Importing the module:
Once installed, we can import the numpy module into our Python script.
```
import numpy as np
```
We generally import numpy with the alias ‘np’ to make it quicker to refer to when calling its methods.
1. Creating Arrays:
Numpy arranges data into arrays. We can create a numpy array like this:
```
import numpy as np
my_array = np.array([1, 2, 3, 4, 5])
print(my_array)
```
1. Mathematical Operations:
Numpy provides a lot of mathematical operations. An example of addition of two numpy arrays:
```
import numpy as np
array1 = np.array([1, 2, 3])
array2 = np.array([4, 5, 6])
sum_array = np.add(array1, array2)
print(sum_array)
```
1. Numpy also offers functions like mean, median, standard deviation etc.
```
import numpy as np
array1 = np.array([1, 2, 3, 4, 5])
print(np.mean(array1))
print(np.median(array1))
print(np.std(array1))
```
1. Limitless Possibilities:
There are a lot of other things you can do with numpy – multi-dimensional arrays, matrix multiplication, reshaping arrays, etc. Refer to the numpy documentation for more information.
