Chapter 13: Problem 1
List five common examples of exceptions.
Short Answer
Expert verified
Examples of common exceptions include ZeroDivisionError, FileNotFoundError, IndexError, KeyError, and TypeError.
Step by step solution
01
Introduction to Exceptions
Exceptions are unexpected events or errors that occur during the execution of a program. Handling these exceptions gracefully ensures that the program can continue to run or terminate cleanly.
02
Example 1: ZeroDivisionError
This exception is raised when a division or modulo operation is attempted with zero as the divisor. For instance, attempting to execute this line of Python code, `10/0`, will result in a `ZeroDivisionError`.
03
Example 2: FileNotFoundError
This exception occurs when a file operation, such as reading or writing, is performed on a file that does not exist. For example, trying to open a non-existent file with open('nonexistent.txt', 'r') in Python will raise a `FileNotFoundError`.
04
Example 3: IndexError
An `IndexError` is raised when trying to access an element from a list using an index that is out of the range of the list. For example, attempting to access the 5th element in a 3-element list like `[1, 2, 3][4]` will trigger this exception.
05
Example 4: KeyError
This exception is raised when a dictionary is accessed with a key that does not exist. For example, if we have a dictionary `{'a': 1}` and we try to access `dict['b']`, it will result in a `KeyError`.
06
Example 5: TypeError
A `TypeError` occurs when an operation or function is applied to an object of inappropriate type. For example, adding a string to an integer using `1 + 'a'` in Python would raise this exception.
Unlock Step-by-Step Solutions & Ace Your Exams!
-
Full Textbook Solutions
Get detailed explanations and key concepts
-
Unlimited Al creation
Al flashcards, explanations, exams and more...
-
Ads-free access
To over 500 millions flashcards
-
Money-back guarantee
We refund you if you fail your exam.
Over 30 million students worldwide already upgrade their learning with Vaia!
Key Concepts
These are the key concepts you need to understand to accurately answer the question.
ZeroDivisionError
When working with numerical operations, you might encounter a `ZeroDivisionError`. This occurs when you try to divide a number by zero, which mathematically is undefined. In Python, this would look like `a / 0` or `b % 0`, where `a` and `b` are any numbers.
To handle this error gracefully, you can use a try-except block. Here's a simple example: ```python try: result = 10 / 0 except ZeroDivisionError: print("Cannot divide by zero!") ``` Using this pattern, the program continues to run smoothly without crashing, and you can inform the user about the mistake.
To handle this error gracefully, you can use a try-except block. Here's a simple example: ```python try: result = 10 / 0 except ZeroDivisionError: print("Cannot divide by zero!") ``` Using this pattern, the program continues to run smoothly without crashing, and you can inform the user about the mistake.
FileNotFoundError
Opening or reading from a file that does not exist leads to a `FileNotFoundError`. Imagine yourself trying to access a book in a library that hasn't been stocked yet—that's precisely what happens in programming when you attempt to open files that are missing.
To gracefully manage this situation, wrap your file operations in a try-except block like this: ```python try: with open('missingfile.txt', 'r') as file: data = file.read() except FileNotFoundError: print("The file you are trying to access does not exist.") ``` Using this method avoids abrupt halts in your program and lets you provide feedback or attempt alternative actions.
To gracefully manage this situation, wrap your file operations in a try-except block like this: ```python try: with open('missingfile.txt', 'r') as file: data = file.read() except FileNotFoundError: print("The file you are trying to access does not exist.") ``` Using this method avoids abrupt halts in your program and lets you provide feedback or attempt alternative actions.
IndexError
An `IndexError` happens when you try to access a position in a list or array that doesn't exist. For example, if you have a list with three items and you try to access the fourth item, Python will raise this error.
Here's how you could safely handle such a situation: ```python my_list = [1, 2, 3] try: item = my_list[4] # Intentional error except IndexError: print("Index out of range. Try a smaller index.") ``` With index errors, it is helpful to first verify the length of the list using `len()` to ensure you're working within its bounds.
Here's how you could safely handle such a situation: ```python my_list = [1, 2, 3] try: item = my_list[4] # Intentional error except IndexError: print("Index out of range. Try a smaller index.") ``` With index errors, it is helpful to first verify the length of the list using `len()` to ensure you're working within its bounds.
KeyError
A `KeyError` occurs in Python when you try to access a dictionary's value using a key that isn't present in the dictionary. This is analogous to trying to look up a word in a dictionary page that is missing.
Utilize try-except blocks to catch this exception: ```python my_dict = {'a': 1, 'b': 2} try: value = my_dict['c'] # Key 'c' does not exist except KeyError: print("Key not found!") ``` To pre-emptively avoid `KeyError`, you can use the `get()` method of dictionaries, which returns `None` or a default value if the key is absent.
Utilize try-except blocks to catch this exception: ```python my_dict = {'a': 1, 'b': 2} try: value = my_dict['c'] # Key 'c' does not exist except KeyError: print("Key not found!") ``` To pre-emptively avoid `KeyError`, you can use the `get()` method of dictionaries, which returns `None` or a default value if the key is absent.
TypeError
`TypeError` arises when an operation uses an inappropriate data type. For example, adding a string and an integer is nonsensical, and Python will raise this error.
Consider this example where you might incorrectly combine types: ```python try: result = 5 + 'hello' except TypeError: print("Cannot add an integer to a string.") ``` To prevent such errors, ensure operations are performed on compatible types and convert types when necessary using functions like `int()`, `str()`, or `float()`. Always know the type of data you are working with to make sure they fit the operation you are performing.
Consider this example where you might incorrectly combine types: ```python try: result = 5 + 'hello' except TypeError: print("Cannot add an integer to a string.") ``` To prevent such errors, ensure operations are performed on compatible types and convert types when necessary using functions like `int()`, `str()`, or `float()`. Always know the type of data you are working with to make sure they fit the operation you are performing.