Python - Comments

Statement: Consider the following code snippet:

def calculate_area(radius):
    """Calculates the area of a circle."""
    # Multiply pi by the square of the radius
    return 3.14159 * (radius ** 2)

In Python, both the triple-quoted """ string and the line starting with # are treated identically by the Python compiler;

They are both stripped out during the creation of the bytecode (.pyc file) and cannot be accessed at runtime.

According to PEP 8 and standard Python conventions, there is a specific order for "special" comments and metadata at the very top of a .py file.

Arrange the following elements in the correct order from the first line of the file to the last:

You are performing a code review and encounter the following line of code:

total_score = correct_answers * 10#Calculate the base score

According to PEP 8 guidelines, which of the following modifications is required to make this inline comment compliant with the standard style?

When using a static type checker like Mypy, you may want to suppress a specific error (for example, an error with the code attr-defined) on a single line rather than silencing all potential errors on that line.

Question: What is the exact syntax for the comment that tells the type checker to ignore only the attr-defined error on a specific line?

During a code review, you find a block of 50 lines of logic that has been commented out using # at the start of each line. The developer says, "I might need that logic later if the new requirement changes back."

According to PEP 8 and general professional "Clean Code" practices, what is the recommended action?

Statement: In Python, you can place a comment inside a parenthesized expression (like a list or a function call) even if the expression spans multiple lines. For example, the following code is syntactically valid

my_list = [
    1, 2, 3,  # This is the first part
    4, 5, 6   # This is the second part
]

Intermediate developers must learn that more comments do not always mean better code. Which of the following are considered "Bad Comments" or "Comment Smells" that should generally be avoided? (Select all that apply)

In the context of writing "Intermediate" level comments, there is a famous rule regarding the content of a comment.

Question: Complete this philosophy: "Code tells you HOW; Comments should tell you ____."

When writing a docstring for a complex function, professional standards (like the Google Python Style Guide) suggest a specific internal structure.

Arrange these docstring components in the standard order:

Look at the following block of code. Which line contains a comment that is considered the least useful (redundant) for an intermediate developer?

# Line A: Fetch user data from the production API
response = requests.get(API_URL) 

if response.status_code == 200:
    data = response.json() # Line B: Parse the response as JSON
    
    # Line C: We use a set here to ensure unique IDs for processing
    unique_ids = {item['id'] for item in data} 
    
    # Line D: Check if we have more than 1000 records to trigger batch mode
    if len(unique_ids) > 1000:
        process_batch(unique_ids)

What happens if you pass a string containing a Python comment to the eval() function?

result = eval("10 + 20 # Add two numbers")

Statement: According to PEP 8, block comments (comments that apply to a whole block of code following them) should always be indented to the same level as the code they are describing.

• True or
• False

While not part of the Python language itself, many IDEs (VS Code, PyCharm) and teams use standardized "tags" within comments to help with project management. Which of the following are widely recognized tags? (Select all that apply)

In intermediate Python, we use __slots__ to optimize memory. Since the individual attributes listed in __slots__ are not class variables, they cannot have their own individual docstrings. According to standard practice, where should the descriptions for these specific attributes be placed?

Python has an official document that provides guidelines and best practices on how to write Python code, including the specific formatting of comments (e.g., the two-space rule for inline comments).

Question: What is the acronym and number of this official Python Enhancement Proposal?

Statement: Adding a large volume of comments (lines starting with #) to a Python script will significantly increase the size of the compiled .pyc files and slightly slow down the execution speed of the program because the interpreter must skip over them at runtime.

The first line of a script often looks like this: #!/usr/bin/env python3.

What is the common technical name for this specific character sequence #!?

Sometimes code triggers a warning from a linter (like flake8 or pylint) that you want to ignore for a specific line. Which of the following are valid "functional" comments used to suppress warnings in common Python linting tools? (Select all that apply)

If you define a docstring for a function named calculate_logic(), Python stores that string in a specific "magic" or "dunder" attribute of the function object.

What is the exact name of this attribute?

While Python does not have a dedicated "multi-line comment" syntax (like /* ... */ in C++), PEP 8 suggests a specific way to format a block comment consisting of multiple sentences.

Arrange these steps in the correct order to form a PEP 8 compliant block comment:

Consider the following code attempt in Python 3.11+:

name = "Alice"
print(f"Hello, {name.upper() # Convert to uppercase }")

What is the result of running this code?

There is a core programming principle that suggests you should not write comments that repeat what the code already clearly states. This is part of a broader principle often abbreviated as DRY.

What does the acronym DRY stand for?

Statement: If you define a comment using # inside a class, that comment will appear in the list of attributes when you call the built-in dir() function on an instance of that class.

• True or
• False

When you run help(math.sqrt) in the Python interactive shell, where does Python primarily pull the information it displays to you?

Many developers use triple-quoted strings (''' or """) as a way to create multi-line comments in Python. However, there is a technical distinction between a comment and a triple-quoted string.

Which of the following statements accurately describes how Python treats a triple-quoted string that is NOT assigned to a variable and is NOT a docstring?

When debugging or exploring a new library in the Python REPL (interactive shell), you often need to read the multi-line docstrings associated with a function to understand its parameters.

Question: What is the name of the built-in Python function used to display an object's docstrings in a human-readable, formatted pager?

Statement: Using triple quotes (""" ... """) is considered the safest and most professional way to "comment out" large blocks of code during debugging, especially if that code block already contains other triple-quoted strings (like docstrings).

• True or
• False

When writing a documented function, the order of elements is strictly enforced by the Python interpreter for the docstring to be recognized correctly.

Arrange the following elements in the correct order for a standard Python function:

Sometimes, instead of using #, developers use logic to "comment out" or disable code during the debugging phase. Which of the following are common (though sometimes discouraged) methods to prevent a block of code from running without using the # symbol? (Select all that apply)