###### Finding the Median of a List in Python

The median is a measure of central tendency that represents the middle value of a dataset when the values are arranged in order. For a list of numbers, the steps to find the median involve sorting the list and identifying the middle element(s). Here’s a Python function to compute the median:
def find_median(numbers):
# First, sort the list of numbers
sorted_numbers = sorted(numbers)
n = len(sorted_numbers)
# Check if the list is empty
if n == 0:
raise ValueError("The list is empty. Median is not defined.")
# Calculate median
mid_index = n // 2
if n % 2 == 0: # If the list has an even number of elements
median = (sorted_numbers[mid_index - 1] + sorted_numbers[mid_index]) / 2
else: # If the list has an odd number of elements
median = sorted_numbers[mid_index]
return median
# Example usage
numbers = [3, 1, 4, 1, 5, 9, 2, 6, 5]
print("Median:", find_median(numbers))

###### Explanation

1. **Sorting the List**: The function begins by sorting the list of numbers using Python’s built-in *sorted()* function. This ensures the numbers are in ascending order, which is crucial for determining the median.
2. **Calculating the Number of Elements**: The length of the sorted list is calculated and stored in the variable *n*.
3. **Handling an Empty List**: If the length *n* is zero, the function raises a *ValueError*, highlighting that the median cannot be calculated for an empty list.
4. **Finding the Median**:
- For an **even** number of elements, the median is the average of the two middle numbers.
- For an **odd** number of elements, the median is the middle number.
5. **Return the Median**: The computed median value is returned.
###### Example

Given the list *[3, 1, 4, 1, 5, 9, 2, 6, 5]*, the function will output *Median: 3*, which is the middle value after sorting the list.
This function is versatile and can handle any list of numerical values, making it a practical tool in statistical analysis and data processing in Python.