input: from typing import List
  
  def explain_simplex_method(problem_description: str) -> str:
      """
      This function provides a detailed explanation of how to use the Simplex Method for solving a
      linear programming problem. It outlines the step-by-step approach to converting the problem into
      standard form, setting up the tableau, and iteratively solving the problem using the Simplex
      algorithm.
      
      >>> explain_simplex_method('Explain the approach for solving a linear programming problem using the Simplex method in Python.')
      'The Simplex Method is an algorithm for solving a linear programming problem...Determine the optimum solution by inspecting the values in the tableau.'
      """
output:     explanation = (
          "The Simplex Method is an algorithm for solving a linear programming problem. "
          "Here is a step-by-step approach to using it:\n"
          "1. **Convert the problem into standard form**: Ensure the problem is in the form "
          "of a maximization problem with all constraints in the form of equations (equalities) "
          "and all variables non-negative.\n"
          "2. **Set up the initial tableau**: Create a tableau that includes the coefficients "
          "of the objective function and the constraints. The tableau should also include slack "
          "variables to convert inequalities into equalities.\n"
          "3. **Choose the entering variable**: Select the non-basic variable with the most "
          "negative coefficient in the objective function row to enter the basis.\n"
          "4. **Choose the leaving variable**: Determine the basic variable that will leave "
          "the basis by applying the minimum ratio test (the row with the smallest non-negative "
          "ratio of the right-hand side divided by the coefficient of the entering variable).\n"
          "5. **Pivot**: Perform row operations to make the entering variable basic and the "
          "leaving variable non-basic.\n"
          "6. **Iterate**: Repeat steps 3-5 until there are no more negative coefficients in "
          "the objective function row.\n"
          "7. **Determine the optimum solution**: Inspect the values in the tableau to find "
          "the optimum solution, which will be the values of the basic variables at this stage."
      )
      return explanation