# Python List Vs Python Array in a nutshell

# Introduction:

Do you know that **Python** has a built-in **array** module to declare **arrays**? You don't have to install **NumPy**, unless you are not playing with complex array and `nD` arrays.

# **Python List:**

**Python** **List** is a built-in data structure, which can contain one or more data types, like `integer`, `float`, `string` etc.

You can even store a **list** inside a `list`, i.e. **nested lists**.

```python
my_empty_list = []

my_list = [1, 'Gaurav', [2, 4, 6]]
```

But **Python** lists consume large memory size for data but on the other hand these are flexible, efficient for **CRUD** operations.

# **Python Array:**

**Python** **Arrays** are **sequence** types and behave very much like **lists**, except that the type of objects stored in them is **constrained**.

In **Python**, the type is specified at `object` creation time by using a type code, which is a single character. We can create a **Python Array** using Python's built-in `array` module

```python
import array

# Syntax: array.array(typecode, [values])

my_empty_array = array.array('i', [1])

my_array = array.array('i', [1, 23, 45])
```

**Python Array** takes less space in **memory**, supports **negative** **indexing** but at the same time, can only store same **data types**, less flexible than lists, because modifications are expensive

*For more on Python Arrays, you can check out official documentation link here: * [https://docs.python.org/3/library/array.html](https://docs.python.org/3/library/array.html)

> ***For more such crispy blogs daily, follow Dev.Junction, subscribe to our newsletter and get notified.***
> 

## Social Links

- **LinkedIn:** [https://www.linkedin.com/in/mnamegaurav/](https://www.linkedin.com/in/mnamegaurav/)
- **YouTube:** [https://www.youtube.com/c/devjunction](https://www.youtube.com/c/devjunction)
- **Website:** [https://gaurav.devjunction.in/](https://gaurav.devjunction.in/)
- **GitHub:** [https://github.com/mnamegaurav](https://github.com/mnamegaurav)
- **Instagram:** [https://www.instagram.com/mnamegaurav/](https://www.instagram.com/mnamegaurav/)
- **Twitter:** [https://twitter.com/mnamegaurav](https://twitter.com/mnamegaurav)