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Matrix-Calculator-using-NumPy

A menu-driven Matrix Calculator built using NumPy for matrix computations and Rich library for styled terminal output. Supports addition, multiplication, transpose, determinant, and inverse operations.

Step 1: Install Numpy and Rich Library

!pip install rich !pip install numpy

Step 2: Import Libraries

import numpy as np from rich import print

Step 3: Create Function to Take Matrix Input

def input_matrix(name): print(f"\n[bold cyan]Enter Matrix {name}[/bold cyan]") rows = int(input("Rows: ")) cols = int(input("Columns: "))

matrix = []
for i in range(rows):
    text = input("Row: ")    # yeh "1 2 3"input lega
    parts = text.split()     # string ko break krega peices:-['1','2','3']
    nums = map(float, parts) # map()-string ko floatmein convert-1.0,2.0,3.0
    row = list(nums)         # store krega list mein[1.0,2.0,3.0]

    matrix.append(row)       #matrix[] mein add kr dega

return np.array(matrix)      #uss matrix ka numpy array dega return

Step 4: Take Matrix A and B from User

A = input_matrix("A") #function ko call B = input_matrix("B")

Step 5: Show Menu

print("[bold yellow]Choose Operation[/bold yellow]\n") print("1. Addition") print("2. Multiplication") print("3. Transpose A") print("4. Determinant A") print("5. Inverse A")

choice = int(input("Enter choice: ")) #choice mein store kr lega (int)value only

Step 6: Perform Operations Based on Choice

if choice == 1: result = A + B print("\n[green]A + B =[/green]\n", result)

elif choice == 2: result = A @ B print("\n[green]A × B =[/green]\n", result) #why @? yeh row x column kr deta hai and * = element by element krta hai

elif choice == 3: print("\n[green]Transpose of A =[/green]\n", A.T)

elif choice == 4: print("\n[green]Determinant of A =[/green]", np.linalg.det(A)) #.determinant ke liye .det() and .linalg (module) hai linear algebra k liye

elif choice == 5: print("\n[green]Inverse of A =[/green]\n", np.linalg.inv(A))

else: print("[red]Invalid choice[/red]")

Follow Me :-

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Shivjot Choudhary 😇

• Github--https://github.com/ShivjotChoudhary
• Linkedin--https://www.linkedin.com/in/shivjot007/

This project was developed under the guidance of Lovnish Verma, Software Developer & AI/ML Engineer.