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PyMathZone

Objective: Explore and solidify Our understanding of Mathematical Concepts by implementing its from scratch in Python. This project avoids leveraging specialized libraries like NumPy to encourage a deeper grasp of the underlying algorithms and logic.

Key Features:

• Conceptual Implementation: The provided code directly translates the Mathematical Concepts into Python functions and logic, promoting deeper understanding and potential customization.

• No External Dependencies: This project strictly adheres to implementing the concept without employing external libraries, fostering self-reliance and a hands-on approach.

• Matrix Class:

  • Represents a matrix as a two-dimensional array of numerical values.
  • Supports a wide range of operations, including:
    • Creating matrices
    • Accessing and modifying elements
    • Arithmetic operations (addition, subtraction, multiplication)
    • Transpose
    • Determinant
    • Minor, cofactor, cofactor matrix
    • Adjoint
    • Inverse

Target Audience:

• Students and developers seeking to:
• Deepen their understanding of Mathematical Concepts through practical implementation.
• Explore concepts without relying on pre-built libraries.
• Utilize the code as a learning resource or reference.

Getting Started:

• Clone the repository using git clone https://github.com/JvgRansika/PyMathZone.git.
• Explore the code comments and functions to understand the implementation.

Contributions:

Feel free to fork, contribute, and suggest improvements! Pull requests addressing comments, enhancing readability, or implementing additional features are welcome.