Matrix addition using numpy python

certainly! matrix addition is a fundamental operation in linear algebra where two matrices of the same dimensions are added together by adding their corresponding elements.

### matrix addition with numpy

numpy is a powerful library in python for numerical computations, and it provides efficient functions for matrix operations, including addition.

#### steps to perform matrix addition using numpy

1. **install numpy**: if you haven't installed numpy yet, you can do so using pip:



2. **import numpy**: before you can use numpy, you need to import it into your python script or notebook.

3. **create matrices**: use numpy's array creation functions to define the matrices you want to add.

5. **display the result**: print the resulting matrix to see the outcome of the addition.

### example code

here’s a complete example that demonstrates matrix addition using numpy:

### output

when you run the above code, the output will be:

### explanation of the code

1. **importing numpy**: the first step is to import the numpy library so that we can use its functions.

3. **adding the matrices**: we demonstrate two ways to add the matrices:
- using the `+` operator.

4. **displaying results**: finally, we print each matrix and the results of the addition.

### important notes

- the two matrices must have the same dimensions for addition to be valid. if they do not, numpy will raise a `valueerror`.
- matrix addition is element-wise, meaning that each element in the resulting matrix is the sum of the corresponding elements in the input matrices.

this tutorial should give you a clear understanding of how to perform matrix addition using numpy in python!

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