NumPy is a python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. In this article, I hope to teach you the fundamentals of NumPy.

NumPy is a python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. In this article, I hope to teach you the fundamentals of NumPy.

You need to have Python installed and PIP. If you have already done this you can start working with NumPy. Before you can use NumPy we have to install with the following command line:

`C:\Users\Your Name>pip install numpy`

Then open up a python script or file and import the library:

`import numpy`

Now, NumPy is imported and ready for you to use. NumPy usually is important as np instead of NumPy:

`import numpy as np`

We can check if NumPy works by adding two simple lines of code:

```
arr = np.array([1, 2, 3, 4, 5])
print(arr)
#output: [1 2 3 4 5]
```

NumPy was developed to work with Arrays, so let’s create one with NumPy. An important thing to know is that NumPy uses the ‘ndarray’ object to create an array. You can create one as follows:

```
import numpy as np #import the library
arr = np.array([1, 2, 3, 4, 5]) #initializing an ndarray
print(arr) #print the array
print(type(arr)) #output: <class 'numpy.ndarray'>
```

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