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# What is `NumPy` and Why Use It?

`NumPy` is a Python library that makes working with numerical data faster and more efficient.

It helps you store large datasets compactly and perform mathematical operations at high speed.

Unlike regular Python lists, `NumPy` provides **arrays**, which are optimized for numerical computation.

<br />

## How to Install `NumPy`

Install `NumPy` using Python’s package manager `pip`:

```bash title="Installing NumPy"
pip install numpy
```

<br />

## How to Import NumPy

You can import `NumPy` using the `import` keyword as follows:

```python title="Importing NumPy"
import numpy as np
```

> `np` is a common alias for `numpy`.

<br />

Watch the slide deck for detailed explanations and examples.

NumPy is designed to efficiently handle data and perform fast mathematical operations, making it significantly faster than using Python lists, especially for large datasets. This is because NumPy arrays are optimized for these types of computations.

What is NumPy and Why Use It?

How to Install NumPy

How to Import NumPy

What is one of the main advantages of using NumPy over Python lists?

What is `NumPy` and Why Use It?

How to Install `NumPy`