def divide(numerator, denominator):
    result = numerator/denominator
    print("result = %f" % result)

divide(1.0, 0)

def divide1(numerator, denominator):
    try:
        result = numerator/denominator
        print("result = %f" % result)
    except:
        print("You can't divide by 0!")

divide1(1.0, 'a')

divide1(1.0, 2)

divide1("x", 2)

def divide2(numerator, denominator):
    try:
        result = numerator / denominator
        print("result = %f" % result)
    except (ZeroDivisionError, TypeError) as err:
        print("Got an exception: %s" % err)

divide2(1, "X")

divide2("x, 2)

"""
Explanation: Exceptions
An exception is an event, which occurs during the execution of a program, that disrupts the normal flow of the program's instructions.
You've already seen some exceptions in the Debugging lesson.
* 
Many programs want to know about exceptions when they occur. For example, if the input to a program is a file path. If the user inputs an invalid or non-existent path, the program generates an exception. It may be desired to provide a response to the user in this case.
It may also be that programs will generate exceptions. This is a way of indicating that there is an error in the inputs provided. In general, this is the preferred style for dealing with invalid inputs or states inside a python function rather than having an error return.
Catching Exceptions
Python provides a way to detect when an exception occurs. This is done by the use of a block of code surrounded by a "try" and "except" statement.
End of explanation
"""


# Handle division by 0 by using a small number
SMALL_NUMBER = 1e-3
def divide3(numerator, denominator):
    try:
        result = numerator/denominator
    except ZeroDivisionError:
        result = numerator/SMALL_NUMBER
        print("result = %f" % result)
    except Exception as err:
        print("Different error than division by zero:", err)

divide3(1,0)

divide3("1",0)

"""
Explanation: Why didn't we catch this SyntaxError?
End of explanation
"""


import pandas as pd
def validateDF(df):
    """"
    :param pd.DataFrame df: should have a column named "hours"
    """
    if not "hours" in df.columns:
        raise ValueError("DataFrame should have a column named 'hours'.")

df = pd.DataFrame({'hours': range(10) })
validateDF(df)

df = pd.DataFrame({'years': range(10) })
validateDF(df)

"""
Explanation: What do you do when you get an exception?
First, you can feel relieved that you caught a problematic element of your software! Yes, relieved. Silent fails are much worse. (Again, another plug for testing.)
Generating Exceptions
Why generate exceptions? (Don't I have enough unintentional errors?)
End of explanation
"""


