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| Section | Objectives |
|---|---|
| Topic 1: Python Programming Fundamentals | - Variables and data types - Operators and expressions - Syntax and basic structure |
| Topic 2: Introduction to Object-Oriented Programming | - Basic OOP concepts - Classes and objects |
| Topic 3: Debugging and Testing Basics | - Basic testing concepts - Error identification and correction |
| Topic 4: File Handling and Exceptions | - Reading and writing files - Exception handling (try/except) |
| Topic 5: Data Structures | - Basic data manipulation - Lists, tuples, dictionaries |
| Topic 6: Control Flow | - Loops (for, while) - Conditional statements (if / elif / else) |
| Topic 7: Functions and Modularity | - Modules and imports - Function definition and scope |
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NEW QUESTION # 51
Which Python data structure allows duplicate values and supports methods like append() and remove()?
Answer: D
Explanation:
A list is a Python data structure that can store multiple values. Lists can contain duplicate values, and they support methods such as append() and remove().
Example:
fruits = [ " apple " , " banana " , " apple " ]
fruits.append( " orange " )
fruits.remove( " banana " )
print(fruits)
Output:
[ ' apple ' , ' apple ' , ' orange ' ]
The value " apple " appears more than once, showing that lists allow duplicates.
The official Python documentation lists list.append() as a method that adds an item to the end of a list and list.
remove() as a method that removes the first matching value from a list.
Therefore, the correct answer is C. List.
NEW QUESTION # 52
How does Jupyter Notebook function as a development environment?
Answer: A
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 # 53
Which keyword is used to exit a loop prematurely in Python?
Answer: B
Explanation:
The break keyword exits a loop immediately before the loop condition naturally becomes false or before all items have been processed.
Example:
for number in range(10):
if number == 5:
break
print(number)
When number becomes 5, the loop stops. Python's control-flow documentation explains the use of break in loops.
Therefore, the correct answer isB. break.
NEW QUESTION # 54
Write a complete function calculate_discount(price, discount_percent) that calculates and returns the final price after applying a discount percentage.
For example, calculate_discount(75, 20) should return 60.0.
def calculate_discount(price, discount_percent):
# TODO: Calculate and return the final price after discount
pass
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: The function receives the original price and the discount_percent.
Step 2: Convert the discount percentage into a decimal by dividing by 100.
Step 3: Subtract the discount from 1 to find the remaining price percentage.
Step 4: Multiply the original price by the remaining percentage.
Correct code:
def calculate_discount(price, discount_percent):
return price * (1 - discount_percent / 100)
Example:
print(calculate_discount(75, 20))
Output:
60.0
NEW QUESTION # 55
Write a complete function calculate_average(grades) that takes a list of grades and returns the average as a float.
For example, calculate_average([85, 92, 78]) should return 85.0.
def calculate_average(grades):
# TODO: Calculate and return the average grade as a float
pass
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: The function receives one parameter named grades, which is a list of numbers.
Step 2: Use sum(grades) to add all the grades together.
Step 3: Use len(grades) to count how many grades are in the list.
Step 4: Divide the total by the number of grades.
Correct code:
def calculate_average(grades):
return sum(grades) / len(grades)
Example:
print(calculate_average([85, 92, 78]))
Output:
85.0
NEW QUESTION # 56
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