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| Section | Weight | Objectives |
|---|---|---|
| Loops and Iteration | 20% | - Iterating over sequences - For loops and while loops - Break, continue, and pass statements |
| Variables, Data Types, and Basic Operations | 20% | - Variables and assignment - Data types: integers, floats, strings, booleans - Arithmetic operations and type conversion |
| Data Structures and Input/Output | 20% | - User input and output operations - Basic file handling - Lists, tuples, dictionaries, sets |
| Control Flow and Decision Making | 20% | - If, elif, else statements - Conditional expressions - Comparisons and logical operators |
| Functions and Modular Programming | 20% | - Defining and calling functions - Parameters, arguments, and return values - Variable scope and code reuse |
>> Exam Foundations-of-Programming-Python Reviews <<
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NEW QUESTION # 49
How does Jupyter Notebook function as a development environment?
Answer: B
Explanation:
Jupyter Notebook works as acell-based interactive coding platform. A notebook is made up of cells, and code can be written and executed inside those cells.
For example, a code cell may contain:
x = 10
print(x)
When the cell is run, the output appears directly below the cell.
The Jupyter Notebook documentation explains that notebooks consist of a sequence of cells, and the contents of a cell can be executed using keyboard shortcuts or the toolbar button.
Jupyter Notebook is not simply a command-line terminal replacement, not limited to static text editing, and not mainly a framework for compiling Python into standalone applications.
Therefore, the correct answer isB. Cell-based interactive coding platform.
NEW QUESTION # 50
Complete the function get_dict_keys(data) that takes a dictionary and returns a list of all its keys.
For example, get_dict_keys({ " name " : " John " , " age " : 25}) should return [ " name " , " age " ].
def get_dict_keys(data):
# TODO: Return a list of all dictionary keys
pass
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: A dictionary stores data as key-value pairs.
Step 2: The .keys() method returns the dictionary's keys.
Step 3: To return the keys as a list, use list(data.keys()).
Correct code:
def get_dict_keys(data):
return list(data.keys())
Example:
print(get_dict_keys({ " name " : " John " , " age " : 25}))
Output:
[ ' name ' , ' age ' ]
NEW QUESTION # 51
Which components are required in every Python for loop?
Answer: D
Explanation:
A Python for loop is used to iterate over an iterable object, such as a list, tuple, string, dictionary, set, or range() object.
A basic for loop needs:
A loop variable
An iterable object
An indented code block
Example:
for number in range(3):
print(number)
In this example:
number is the loop variable.
range(3) is the iterable.
print(number) is the indented code block that runs during each loop iteration.
According to the official Python documentation, the for statement is a construct that works with iterable objects.
Therefore, the correct answer is A. A variable, an iterable, and an indented code block.
NEW QUESTION # 52
Fix the indexing error in this function that should return the last character of a string.
def get_last_character(text):
return text[len(text)]
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: Python string indexing starts at 0.
Step 2: The last valid index of a string is len(text) - 1, not len(text).
Step 3: Python also allows negative indexing, where -1 means the last character.
Step 4: Replace text[len(text)] with text[-1] .
Correct code:
def get_last_character(text):
return text[-1]
Example:
print(get_last_character( " Python " ))
Output:
n
NEW QUESTION # 53
Complete the function get_second_item(items) that takes a list and returns the second item. Assume the input is always a list containing at least two elements.
For example, get_second_item([10, 20, 30]) should return 20.
def get_second_item(items):
# TODO: Return the second item from the list
pass
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: Python list indexing starts at 0.
Step 2: The first item is at index 0.
Step 3: The second item is at index 1.
Step 4: Return the value at index 1.
Correct code:
def get_second_item(items):
return items[1]
Example:
print(get_second_item([10, 20, 30]))
Output:
20
NEW QUESTION # 54
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