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| Section | Objectives |
|---|---|
| Data Structures | - String Manipulation - Sets - Lists and List Operations - Tuples - Dictionaries |
| Functions | - Recursion - Return Values - Parameters and Arguments - Scope (local and global) - Function Definition and Call |
| File Handling and Exceptions | - Reading and Writing Files - Custom Exceptions - Exception Handling (try, except, finally) |
| Python Fundamentals | - Input/Output Operations - Type Conversion - Operators and Expressions - Variables and Data Types |
| Object-Oriented Programming | - Classes and Objects - Encapsulation - Inheritance - Attributes and Methods - Constructors (__init__) |
| Control Structures | - Nested Conditionals and Loops - Conditional Statements (if, elif, else) - Loop Control (break, continue, pass) - Loops (for, while) |
| Testing and Debugging | - Debugging Techniques - Trace Errors - Unit Testing Concepts |
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NEW QUESTION # 51
Fix the indentation error in this function that should return a greeting message.
def greet(name):
return " Hello " + name
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: In Python, the code inside a function must be indented.
Step 2: The return statement belongs inside the function body.
Step 3: Add indentation before the return statement.
Correct code:
def greet(name):
return " Hello " + name
Example:
print(greet( " Alice " ))
Output:
Hello Alice
NEW QUESTION # 52
Write a complete function password_strength(password) that returns " Strong " if the password is at least 8 characters long and contains both letters and numbers, " Weak " otherwise.
For example, password_strength( " abc123def " ) should return " Strong " .
def password_strength(password):
# TODO: Return " Strong " or " Weak " based on password criteria
if len(password) < 8:
return " Weak "
has_letter = False
has_number = False
for char in password:
if char.isalpha():
has_letter = True
elif char.isdigit():
has_number = True
# TODO: Add your return logic here based on has_letter and has_number
pass
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: First, check the password length using len(password).
Step 2: If the password has fewer than 8 characters, return " Weak " immediately.
Step 3: Create two Boolean variables: has_letter and has_number.
Step 4: Loop through each character in the password.
Step 5: Use .isalpha() to check for letters and .isdigit() to check for numbers.
Step 6: If the password contains both at least one letter and at least one number, return " Strong " .
Step 7: Otherwise, return " Weak " .
Correct code:
def password_strength(password):
if len(password) < 8:
return " Weak "
has_letter = False
has_number = False
for char in password:
if char.isalpha():
has_letter = True
elif char.isdigit():
has_number = True
if has_letter and has_number:
return " Strong "
else:
return " Weak "
Example:
print(password_strength( " abc123def " ))
print(password_strength( " abcdefgh " ))
print(password_strength( " 12345678 " ))
Output:
Strong
Weak
Weak
NEW QUESTION # 53
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: C
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 # 54
Which data type is the value 3.14 in Python?
Answer: C
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 # 55
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 # 56
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