How to Add, Subtract, and Multiply Matrices in Python Using SymPy #python #linearalgebra

Learn how to perform matrix addition, subtraction, and multiplication using Python and the SymPy library! This tutorial explains how to work with matrices step by step, showcasing practical examples for addition, subtraction, and multiplication. Perfect for beginners in Python, math enthusiasts, or linear algebra students.

✅ What You’ll Learn:

Creating matrices with the Matrix class in SymPy.
Performing matrix addition and subtraction.
Multiplying matrices using SymPy.
Understanding matrix operations in Python.
🎯 Why Watch This Video?
Matrix operations are fundamental in linear algebra and have applications in machine learning, data science, and numerical methods. This tutorial breaks down these concepts and shows how to implement them in Python, making it accessible for learners at all levels.

📊 Who Is This For?
This tutorial is perfect for Python learners, students, and anyone interested in applying Python for math and linear algebra.

🔗 Code From the Tutorial:
***
from sympy import Matrix

A = Matrix([
[4, 7, 3],
[7, 5, 2],
[3, 2, 1]
])

B = Matrix([
[3, 7, 3],
[7, 4, 2],
[3, 2, 0]])

# May need to use display(A + B) / display(A-B) / display(A * B)

# Matrix Addition
A + B

# Matrix Subtraction

A - B

# Matrix Multiplication

A * B
***

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