The python framework does inform you where an error occurred

All questions refer to python.

QUESTION 1 True or False: The Python Framework does inform you where an error occurred.

QUESTION 2 ( ? ) is a critical component to being able to store data and information long term.

a. File Access

b. Memory

c. Print function

d. with

QUESTION 3 Error handling is also known as ( ? ) handling.

a. Result

b. Recursion

c. Exception

d. Crash

QUESTION 4 We use a ( ? ) block to handle thrown exceptions.

a. try

b. except

c. keywords

d. lists

QUESTION 5 When does python limit access to global objects from within a scope?

a. When there is the presence of a newly created local variable with the same name as a global variable.

b. When there is the presence of a newly created local variable with a different name than the global variable.

c. When there are no new variables.

d. When there is the presence of any newly created variable.

QUESTION 6 Passes multiple values into a function for processing.

a. Global variable

b. Code block

c. Return

d. Parameter list

QUESTION 7 True or False: There is no limit to the number of except blocks a program can have.

QUESTION 8 True or False: When we pass a variable into a function and then modify that variable inside of the function, it also modifies the variable outside of the function that we passed into the function.

Python:

Python is an interpreter, object-oriented programming language similar to PERL, that has gained popularity because of its clear syntax and readability. The syntax of the language is clean and length of the code is relatively short. It's fun to work in Python because it allows you to think about the problem rather than focusing on the syntax.

Answer and Explanation:

Question 1:

Answer: False

Question 2:

Answer: a.File Access

Question 3:

Answer: Exception

Question 4:

Answer: b.Except

Question 5:

Answer: b. When...

See full answer below.

Learn more about this topic:

Python Data Visualization: Basics & Examples

from

Chapter 12 / Lesson 10

In this lesson, we will define Data Visualization and Python, go over the basics of Data Visualization in Python, and show some examples of how this is accomplished.

Related to this Question

Explore our homework questions and answers library

In this tutorial, you will learn about different types of errors and exceptions that are built-in to Python. They are raised whenever the Python interpreter encounters errors.

Video: Python Exception Handling

We can make certain mistakes while writing a program that lead to errors when we try to run it. A python program terminates as soon as it encounters an unhandled error. These errors can be broadly classified into two classes:

1. Syntax errors
2. Logical errors (Exceptions)

Python Syntax Errors

Error caused by not following the proper structure (syntax) of the language is called syntax error or parsing error.

Let's look at one example:

>>> if a < 3
  File "", line 1
    if a < 3
           ^
SyntaxError: invalid syntax

As shown in the example, an arrow indicates where the parser ran into the syntax error.

We can notice here that a colon : is missing in the if statement.

Python Logical Errors (Exceptions)

Errors that occur at runtime (after passing the syntax test) are called exceptions or logical errors.

For instance, they occur when we try to open a file(for reading) that does not exist (FileNotFoundError), try to divide a number by zero (ZeroDivisionError), or try to import a module that does not exist (ImportError).

Whenever these types of runtime errors occur, Python creates an exception object. If not handled properly, it prints a traceback to that error along with some details about why that error occurred.

Let's look at how Python treats these errors:

>>> 1 / 0
Traceback (most recent call last):
 File "", line 301, in runcode
 File "", line 1, in 
ZeroDivisionError: division by zero

>>> open("imaginary.txt")
Traceback (most recent call last):
 File "", line 301, in runcode
 File "", line 1, in 
FileNotFoundError: [Errno 2] No such file or directory: 'imaginary.txt'

Python Built-in Exceptions

Illegal operations can raise exceptions. There are plenty of built-in exceptions in Python that are raised when corresponding errors occur. We can view all the built-in exceptions using the built-in local() function as follows:

print(dir(locals()['__builtins__']))

locals()['__builtins__'] will return a module of built-in exceptions, functions, and attributes. dir allows us to list these attributes as strings.

Some of the common built-in exceptions in Python programming along with the error that cause them are listed below:

If required, we can also define our own exceptions in Python. To learn more about them, visit Python User-defined Exceptions.

We can handle these built-in and user-defined exceptions in Python using try, except and finally statements. To learn more about them, visit Python try, except and finally statements.

How to identify Errors in Python?

What happens if the file is not found in the following Python code?

Which of the following function call is correct in Python?

In which of the following scenarios finally block is executed?