Consider Boundary Conditions and Keyword Args for Cleaner Code

When working with pandas and dealing with boundary conditions in code, it is essential to consider the built-in solutions provided by library developers. By using keyword arguments like 'include lowest equals true,' one can ensure a cleaner and more reliable code that accounts for tricky boundary conditions, especially in numerical calculations involving floating points. Addressing these details can prevent potential errors or issues that may have serious consequences, such as spacecraft crashes due to miscalculations.