Coding is a whole different language that only some people understand. If you are one of those who understand this language, this article may help you learn how to create **Nxnxn Matrix Python**. And if you are someone that does not understand anything about coding, then I am sorry to say my friend, this is not the place for you.

Moving forward, which means you are interested in learning some new concepts to create Nxnxn Matrix Python that we are going to share in this article. Stay with us and now some details about the **Nxnxn Matrix Python 3**.

**What is Python Matrix? **

**Source: Programiz.com**

A Python matrix is a specialized two-dimensional rectangular array of data that is stored in rows and columns. The data stored in a matrix can be numbers, strings, expressions, symbols, etc. Matrix is one of the important ways to structure data. Matrices are mostly used for scientific and mathematical calculations

Python doesn’t have a built-in type for matrices. However, we can treat a list of numbers as a list as a matrix. For example:

A = [[1, 4, 5],

[-5, 8, 9]]

In the above example of a Python matrix, we can see that the list has 2 rows and 3 columns.

**What is NxNxN? **

The term NxNxN is also known as the NxNxN cube or NxNxN puzzle. This term is pronounced as ‘N by N by N’. It is used to represent a cube of the same dimensions. This term shows that the height, width, and length of the cube are the same.

The term NxNxN is very flexible and suits with multiple of combinations which consists of the 2x2x2 cube, the Rubik’s cube (which is the 3x3x3 cube), the 4x4x4 cube, the 5x5x5 cube, etc. The sequence even includes a 1x1x1 cube, the mentioned sequence may not seem as engaging as the others but it does have the complete set as the rest of the NxNxN set.

**How to Create Nxnxn Matrix Python? **

**Source: Blogs.thebitx.com**

Now that we are aware of the term NxNxN and Python matrix, let’s proceed further and discuss how **Nxnxn Matrix Python** was created.

The arrays are represented using the list data type. So, now we will make use of the list to create a python matrix.

The diagram below is an example of 3×3 matrix:

As you can see in the table above:

- The matrix has 3 rows and 3 columns.
- The first row in a list format will be as follows: [8,14, -6]
- The second row in a list will be: [12,7,4]
- The third row in a list will be: [-11,3,21]

So, according to the matrix that is listed above the matrix data will be:

M1= [[8, 14, -6]], [12, 7, 4], [-11, 3, 21]]

**NumPy Array **

NumPy is a scientific computing package that supports powerful N-dimensional array objects. Must be installed before using NumPy. After installing NumPy, you can import and use it. NumPy provides a multidimensional array of numbers.

**Create NxNxN Matrix Python using NumPy **

The code that is mentioned below is to create a **NxNxN Matrix Python 3**. You can create the matrix of any value you want. In order to do so, change the value of N based on the requirement. The number or value of N that you choose also determines the shape that you need to generate. For example, if you want to create a standard Rubik’s cube, it would be 3x3x3, so the value of N that you choose would be 3.

**Matrix operations using NumPy Array () **

Possible matrix operations of the NumPy array include addition, subtraction, multiplication, transpose, matrix rows, column and matrix division. In all the sequences and examples we are required to use the array () method.

The Matrix operations are each briefly explained below:

**Matrix Addition **

In order to perform a matrix addition, we will have to create two matrices using NumPy array() and add them using the + operator.

**Matrix Subtraction **

Similarly, like the addition matrix, to do a subtraction matrix, we will have to create two matrices using the NumPy array() and subtract them using the – operator.

**Matrix Multiplier **

To perform a multiplier matrix, use NumPy array () to create two matrices. You can use the NumPy dot () method to multiply them. Numpy.dot () is the inner product of the matrices M1 and M2. Numpy.dot () processes 2D arrays and performs matrix multiplication easily.

**Matrix Transpose **

You can calculate the transpose matrix by changing the rows as columns and columns as rows. The transpose matrix functions from NumPy and can be used to calculate the transpose of a matrix.

**Wrap up **

Hopefully this article helped you understand some basics of the **Nxnxn Matrix Python** and also helped you clear out some new concepts. Leave a comment if you want to share something with us.

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