In C script

This Python calculator script is a powerful tool that supports a wide range of mathematical operations. It includes basic arithmetic calculations, advanced mathematical functions, matrix operations, polynomial calculations, integration, differentiation, statistical analysis, and function plotting. This README provides a detailed guide on the usage, features, and code structure of the calculator.

1. Basic Arithmetic Operations

   • Addition
   • Subtraction
   • Multiplication
   • Division
   • Exponentiation

2. Advanced Mathematical Functions

   • Square Root
   • Factorial
   • Trigonometric Functions (sin, cos, tan, asin, acos, atan)

3. Matrix Operations

   • Addition
   • Subtraction
   • Multiplication
   • Determinant Calculation
   • Matrix Inversion
   • Eigenvalues Calculation

4. Polynomial Operations

   • Evaluation of Polynomials
   • Finding Roots of Polynomials

5. Integration and Differentiation

   • Definite Integration of Functions
   • Differentiation of Functions

6. Statistical Analysis

   • Mean
   • Median
   • Variance
   • Standard Deviation

7. Function Plotting

   • Visualize Functions Using Matplotlib

To run this script, you need Python and several Python libraries installed:

• numpy
• scipy
• matplotlib

Install these libraries using pip:

pip install numpy scipy matplotlib

git clone https://github.com/mdriyadkhan585/Advanced_calculator
cd Advanced_calculator

1. Run the Script: Execute the script in your Python environment.

   python simple-calculator.py
   python level-calculator.py
   python next-level-calculator.py
   python advanced-calculator.py
   python pro-calculator.py

2. Select an Operation: Choose from the operations listed in the menu.

3. Provide Inputs: Follow the prompts to enter the required values.

4. View Results: The results will be displayed based on the operation chosen.

• Addition: add(x, y) - Returns the sum of x and y.
• Subtraction: subtract(x, y) - Returns the difference between x and y.
• Multiplication: multiply(x, y) - Returns the product of x and y.
• Division: divide(x, y) - Returns the quotient of x divided by y, handling division by zero.
• Exponentiation: exponent(x, y) - Returns x raised to the power of y.

• Square Root: square_root(x) - Computes the square root of x, with error handling for negative inputs.
• Factorial: factorial(x) - Computes the factorial of x, with validation for non-integer and negative inputs.
• Trigonometric Functions:
  • trig_sin(x) - Returns the sine of angle x (in degrees).
  • trig_cos(x) - Returns the cosine of angle x (in degrees).
  • trig_tan(x) - Returns the tangent of angle x (in degrees).
  • trig_asin(x) - Returns the arc sine of x (domain: [-1, 1]).
  • trig_acos(x) - Returns the arc cosine of x (domain: [-1, 1]).
  • trig_atan(x) - Returns the arc tangent of x.

• Addition: matrix_operations() - Adds two 2x2 matrices.
• Subtraction: matrix_operations() - Subtracts one 2x2 matrix from another.
• Multiplication: matrix_operations() - Multiplies two 2x2 matrices.
• Determinant Calculation: matrix_operations() - Computes the determinant of a 2x2 matrix.
• Matrix Inversion: matrix_operations() - Computes the inverse of a 2x2 matrix, with error handling for singular matrices.
• Eigenvalues Calculation: matrix_operations() - Finds the eigenvalues of a 2x2 matrix.

• Evaluation: polynomial_operations() - Evaluates a polynomial at a given value of x.
• Finding Roots: polynomial_operations() - Finds the roots of a polynomial using its coefficients.

• Integration: function_integration() - Computes the definite integral of a user-defined function over a specified interval.
• Differentiation: function_differentiation() - Computes the derivative of a user-defined function.

• Mean: statistical_operations() - Calculates the mean of a dataset.
• Median: statistical_operations() - Calculates the median of a dataset.
• Variance: statistical_operations() - Calculates the variance of a dataset.
• Standard Deviation: statistical_operations() - Calculates the standard deviation of a dataset.

• Plotting: plot_function() - Plots a user-defined mathematical function over a specified range.

1. Function Definitions: Contains functions for all the operations mentioned.
2. Menu System: Provides an interactive menu for users to select operations.
3. Input Handling: Prompts the user for inputs and processes them accordingly.
4. Error Handling: Includes error handling for invalid inputs and mathematical errors.
5. Plotting: Uses matplotlib to generate plots for visual representation of functions.

1. Run the script using python calculator.py.
2. Choose an Operation: For example, select 1 for addition.
3. Enter Numbers: Provide two numbers when prompted.
4. View Results: The result of the addition will be displayed.

Contributions are welcome! If you have suggestions for new features or improvements, please open an issue or submit a pull request.

• NumPy: For numerical computations.
• SciPy: For scientific and technical computing.
• Matplotlib: For plotting and visualization.

• Installation: Ensure that numpy, scipy, and matplotlib are installed in your Python environment.
• Running the Script: Save the Python code in a file named calculator.py and execute it.
• Using the Calculator: Follow the interactive prompts to perform various mathematical operations.