Hello guys. How are you all? I hope you all fine. In this tutorial we will learn about **How to check List Equality in Python**. so without wasting time lets learn about of this.

## How to check List Equality in Python

**check List Equality in Python**to check List Equality in Python just

**Use == operator**. By using == you can check if both the list are equal or not. Lets learn about of this by given below example:Output :`l1 = [11,12,13,14,15] l2 = [12,1,8,15,14,8] l3 = [11,12,13,14,15] print(l1 == l2) print(l1 == l3)`

**False True****How to check List Equality in Python**to check List Equality in Python just

**Use == and numpy.all()**.By using == and numpy.all() you can check if both the list are equal or not. Lets learn about of this by given below example:Output :`import numpy as np l1 = [11,12,13,14,15] l2 = [12,1,8,15,14,8] l3 = [11,12,13,14,15] print((np.array(l1) == np.array(l2))) print((np.array(l1) == np.array(l3)))`

**False [ True True True True True]****python list equality**To check List Equality in Python just

**Use == and numpy.all()**.By using == and numpy.all() you can check if both the list are equal or not. Lets learn about of this by given below example:Output :**False [ True True True True True]**

## Method 1: Use == operator

By using == you can check if both the list are equal or not. Lets learn about of this by given below example:

```
l1 = [11,12,13,14,15]
l2 = [12,1,8,15,14,8]
l3 = [11,12,13,14,15]
print(l1 == l2)
print(l1 == l3)
```

Output :

```
False
True
```

## Method 2: Use == and numpy.all()

By using == and numpy.all() you can check if both the list are equal or not. Lets learn about of this by given below example:

```
import numpy as np
l1 = [11,12,13,14,15]
l2 = [12,1,8,15,14,8]
l3 = [11,12,13,14,15]
print((np.array(l1) == np.array(l2)))
print((np.array(l1) == np.array(l3)))
```

Output :

```
False
[ True True True True True]
```

**Conclusion**

It’s all About this Tutorial. Hope all methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which method worked for you?

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