<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def convertTimestamps(column):
 """Convert a dtype of a given column to a datetime. This method tries to do this by brute force. Args: column (pandas.Series):
 A Series object with all rows. Returns: column: Converted to datetime if no errors occured, else the original column will be returned. """

    tempColumn = column

    try:
        # Try to convert the first row and a random row instead of the complete
        # column, might be faster
        # tempValue = np.datetime64(column[0])
        tempValue = np.datetime64(column[randint(0, len(column.index) - 1)])
        tempColumn = column.apply(to_datetime)
    except Exception:
        pass
    return tempColumn