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| Section | Objectives |
|---|---|
| Functions | - Scope (local and global) - Function Definition and Call - Parameters and Arguments - Return Values - Recursion |
| Python Fundamentals | - Variables and Data Types - Input/Output Operations - Operators and Expressions - Type Conversion |
| Data Structures | - Tuples - Lists and List Operations - String Manipulation - Sets - Dictionaries |
| Control Structures | - Nested Conditionals and Loops - Conditional Statements (if, elif, else) - Loop Control (break, continue, pass) - Loops (for, while) |
| File Handling and Exceptions | - Reading and Writing Files - Custom Exceptions - Exception Handling (try, except, finally) |
| Testing and Debugging | - Unit Testing Concepts - Debugging Techniques - Trace Errors |
| Object-Oriented Programming | - Attributes and Methods - Classes and Objects - Encapsulation - Constructors (__init__) - Inheritance |
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NEW QUESTION # 24
A dictionary prices = { ' apple ' : 1.50, ' banana ' : 0.75, ' orange ' : 2.00} needs to have all values increased by
0.25. Which code correctly accomplishes this task?
Answer: A
Explanation:
In Python, iterating directly over a dictionary gives itskeys. In this dictionary, the keys are:
' apple '
' banana '
' orange '
To update each price, the program can loop through each key and use that key to access and change the corresponding value.
Correct code:
prices = { ' apple ' : 1.50, ' banana ' : 0.75, ' orange ' : 2.00}
for item in prices:
prices[item] = prices[ item] + 0.25
print(prices)
Output:
{ ' apple ' : 1.75, ' banana ' : 1.0, ' orange ' : 2.25}
Option B is incorrect because value actually receives each dictionary key, not each dictionary value. Also, assigning to value would not update the dictionary.
Option C is incorrect because item is not defined, and the loop structure is invalid for this task.
NEW QUESTION # 25
Which data type is the value 3.14 in Python?
Answer: A
Explanation:
The value 3.14 is afloatbecause it contains a decimal point.
Example:
type(3.14)
This returns:
< class ' float ' >
Python's built-in numeric types include integers and floating-point numbers. A value with a decimal part, such as 3.14, is treated as a floating-point number.
Therefore, the correct answer isB. Float.
NEW QUESTION # 26
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 # 27
Which Python data structure contains only unique elements and does not support indexing?
Answer: B
Explanation:
A set is a Python data structure that stores only unique elements. This means duplicate values are automatically removed.
Example:
numbers = {1, 2, 2, 3}
print(numbers)
Output:
{1, 2, 3}
The duplicate value 2 appears only once in the set.
Sets are also unordered, so they do not support indexing like lists or tuples do. For example, numbers[0] would cause an error because sets are not accessed by position.
The official Python documentation describes sets as unordered collections with no duplicate elements.
Therefore, the correct answer is D. Set.
NEW QUESTION # 28
Write a complete function convert_temperature(celsius) that converts Celsius to Fahrenheit using the formula:
F = C * 9/5 + 32.
For example, convert_temperature(0) should return 32.0.
def convert_temperature(celsius):
# TODO: Convert Celsius to Fahrenheit using F = C * 9/5 + 32
pass
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: The function receives one parameter named celsius.
Step 2: Use the formula:
F = C * 9 / 5 + 32
Step 3: Return the converted Fahrenheit value.
Correct code:
def convert_temperature(celsius):
return celsius * 9 / 5 + 32
Example:
print(convert_temperature(0))
Output:
32.0
NEW QUESTION # 29
......
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