lesson1Title

lesson2Title

lesson3Title

lesson4Title

lesson5Title

lesson6Title

lesson7Title

lesson8Title

lesson9Title

lesson10Title

lesson11Title

lesson12Title

lesson13Title

pythonDataAnalysisBasicChapter3Title

pythonDataAnalysisBasicChapter1Title

lesson14Title

lesson15Title

lesson16Title

lesson17Title

lesson18Title

lesson19Title

lesson20Title

lesson21Title

lesson22Title

pythonDataAnalysisBasicChapter2Title

pythonDataAnalysisBasicChapter4Title

# What is NumPy and Why Use It?

`NumPy` is a Python library designed to make working with numbers easier and faster.

It allows you to store data efficiently and perform mathematical operations quickly.

Instead of relying on slow loops and lists, `NumPy` provides **arrays**, which are a more powerful and efficient way to handle data in Python.

<br />

## How to Install NumPy

You can install `NumPy` using `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?