This repository contains Python code for performing linear algebra operations and matrix manipulations. The tasks include creating a class for products, implementing matrix multiplication, finding determinants, solving linear systems, and more.
The script sales_calculator.py contains a Python program that calculates the total sales and average sales for a given week's sales amounts.
The script product_operations.py defines a Product class with attributes like name, price, and quantity. Additionally, it includes functions to calculate the total cost of a given basket of products and apply a discount.
The task involves defining a class named Product with attributes such as name, price, and quantity. An instance of the class is created to showcase its usage.
The script linear_algebra.py includes Python functions for matrix multiplication, determinant calculation for 2x2 and 3x3 matrices, and inverse calculation for a 3x3 matrix.
The script linear_system_solver.py implements functions to solve a system of linear equations in matrix form (Ax = b). It uses the functions from Task 5 for matrix operations.
# Example linear system
coefficients_matrix = [[1, 2, 3], [2, 5, 3], [2, 0, 8]]
constants_vector = [10, 15, 20]
# Solve the system
solution_vector = solve_linear_system(coefficients_matrix, constants_vector)
# Print the solution
print("Solution vector x:")
for i, value in enumerate(solution_vector):
print(f"x{i + 1} = {value[0]:.2f}")Feel free to explore each task's script for more details and examples.
Ensure you have Python installed, then run each script individually using a Python interpreter.
python sales_calculator.py
python product_operations.py
python Product.py
python linear_algebra.py
python linear_system_solver.pyNo external dependencies are required. The scripts use standard Python libraries.