## (Python Tutorials for Citizen Data Scientist)

# Python Code to Add Two Matrices

#### In this program, you’ll learn to add two matrices using Nested loop and Next list comprehension, and display it.

In Python, we can implement a matrix as a nested list (list inside a list). We can treat each element as a row of the matrix.

For example `X = [[1, 2], [4, 5], [3, 6]]`

would represent a 3×2 matrix. First row can be selected as `X[0]`

and the element in first row, first column can be selected as `X[0][0]`

.

We can perform matrix addition in various ways in Python. Here are a couple of them.

## Source code: Matrix Addition using Nested Loop

```
# Program to add two matrices using nested loop
X = [[12,7,3],
[4 ,5,6],
[7 ,8,9]]
Y = [[5,8,1],
[6,7,3],
[4,5,9]]
result = [[0,0,0],
[0,0,0],
[0,0,0]]
# iterate through rows
for i in range(len(X)):
# iterate through columns
for j in range(len(X[0])):
result[i][j] = X[i][j] + Y[i][j]
for r in result:
print(r)
```

**Output**

[17, 15, 4] [10, 12, 9] [11, 13, 18]

In this program we have used nested `for`

loops to iterate through each row and each column. At each point, we add the corresponding elements in the two matrices and store it in the result.

## Source Code: Matrix Addition using Nested List Comprehension

```
# Program to add two matrices using list comprehension
X = [[12,7,3],
[4 ,5,6],
[7 ,8,9]]
Y = [[5,8,1],
[6,7,3],
[4,5,9]]
result = [[X[i][j] + Y[i][j] for j in range(len(X[0]))] for i in range(len(X))]
for r in result:
print(r)
```

List comprehension allows us to write concise codes and we must try to use them frequently in Python. They are very helpful.

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## Python Examples for Beginners: Python Code to Add Two Matrices

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause.The information presented here could also be found in public knowledge domains.

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