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Python Programming Practice Quiz Challenge

Sharpen Your Python Coding Knowledge Today

Difficulty: Moderate
Questions: 20
Learning OutcomesStudy Material
Colorful paper art depicting elements related to Python Programming Practice Quiz.

Ready to elevate your Python skills? This Python Programming Practice Quiz offers 15 challenging multiple-choice questions designed for both beginners and seasoned coders. Learners can test key concepts in data types, control flow, and functions while tracking their progress in our easy-to-use editor. Explore the Python Fundamentals Quiz or try the Python Basics Knowledge Test for more targeted practice. Modify any question freely in our editor and browse all quizzes to customize your learning journey.

How do you write a single-line comment in Python?
# This is a comment
/* This is a comment */
// This is a comment
In Python, a single-line comment is indicated by the '#' symbol at the beginning. Other comment syntaxes belong to languages like JavaScript or HTML.
What is the index of the first element in a Python list?
It depends on the list length
-1
0
1
Python uses zero-based indexing for lists, so the first element is at index 0. Negative indices access elements from the end.
Which keyword is used to define a function in Python?
def
function
func
define
The 'def' keyword introduces a function definition in Python. Keywords like 'function' or 'define' are not recognized in this context.
Which data type would you use to represent decimal numbers in Python?
bool
int
str
float
Decimal (floating-point) numbers are represented by the 'float' type in Python. 'int' is for whole numbers, 'str' for text, and 'bool' for truth values.
What is the output of print(2 + 3 * 4)?
24
20
14
18
Python follows standard operator precedence: multiplication before addition. So 3 * 4 equals 12, then plus 2 yields 14.
What is the remainder of 7 divided by 3 in Python (i.e., 7 % 3)?
0
3
2
1
The '%' operator returns the remainder of division. Dividing 7 by 3 gives a remainder of 1.
Which expression will raise a TypeError in Python?
"a" + 1
5 + 10
4 * 2
"a" + "b"
Python cannot concatenate a string and an integer using '+', causing a TypeError. Concatenating two strings or adding two integers is valid.
What is the result of list(range(1, 5))?
[0, 1, 2, 3, 4]
[1, 2, 3, 4, 5]
[2, 3, 4, 5]
[1, 2, 3, 4]
range(1, 5) generates numbers from 1 up to but not including 5. Converting to a list yields [1, 2, 3, 4].
Which mode opens a file for writing, creating it if it doesn't exist?
"r"
"w"
"a"
"x"
The 'w' mode opens a file for writing and creates it if it does not exist, truncating it if it does. 'a' appends, 'x' creates but errors if it exists.
Which of these is an immutable sequence in Python?
dict
list
set
tuple
Tuples are immutable sequences, meaning their contents cannot be changed after creation. Lists, dicts, and sets are all mutable.
What does len({"a":1, "b":2, "c":3}) return?
0
2
An error
3
The len() function returns the number of keys in a dictionary. This dictionary has three keys, so len() returns 3.
In exception handling, which keyword is used to handle an exception?
catch
error
except
finally
Python uses 'try' and 'except' for exception handling. 'catch' is used in some other languages, and 'finally' is optional for cleanup.
How do you define a class named MyClass in Python?
class MyClass[]: pass
class MyClass: pass
def MyClass: pass
class MyClass() pass
The correct syntax to define a class is 'class ClassName:'. Other options either misuse 'def' or have invalid syntax.
What is the boolean value of an empty string "" in Python?
True
False
An error
None
Empty sequences and collections in Python evaluate to False in boolean contexts. Non-empty strings evaluate to True.
Which operator is used for exponentiation in Python?
*
^
//
**
The '**' operator performs exponentiation, raising the left operand to the power of the right operand. '^' is bitwise XOR.
Which of the following list comprehensions produces a list of squares of numbers 0 through 4?
[x**2 for x in range(5)]
(x**2 for x in range(5))
[x^2 for x in range(5)]
[for x in range(5): x**2]
The syntax '[x**2 for x in range(5)]' correctly uses a list comprehension and the exponentiation operator. '^' is bitwise XOR and the generator expression uses parentheses.
Given the function signature def func(a, b=2, *args, **kwargs):, which parameter captures additional keyword arguments?
b
a
kwargs
args
In Python, '**kwargs' collects extra keyword arguments into a dictionary. '*args' collects extra positional arguments into a tuple.
What will be the output of this code? class A: def __init__(self): self.val = 1 class B(A): def __init__(self): super().__init__() self.val = 2 print(B().val)
None
2
1
An error
Class B calls super().__init__() which sets val to 1, then immediately sets self.val to 2. Therefore, printing B().val outputs 2.
Which function from the copy module performs a deep copy of an object in Python?
copy_deep()
deepcopy()
copy()
clone()
The function 'deepcopy()' in the copy module recursively copies nested objects, creating independent copies. 'copy()' makes a shallow copy only.
For this multiple inheritance setup, what is the MRO of class D? class A: pass class B(A): pass class C(A): pass class D(B, C): pass
[D, B, C, A, object]
[D, C, B, A, object]
[D, A, B, C, object]
[D, B, A, C, object]
Python uses C3 linearization for MRO. For D(B, C), the order is D, B, C, then A, and finally the base 'object' class.
0
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Learning Outcomes

  1. Analyse Python syntax and coding structures
  2. Identify core data types and their operations
  3. Apply control flow and loop constructs
  4. Demonstrate function creation and usage
  5. Evaluate error handling and debugging techniques
  6. Master fundamentals of object-oriented programming

Cheat Sheet

  1. Understand Python's Core Data Types - Python's world is built on integers, floats, strings, lists, tuples, and dictionaries, each with its own superpower. Lists can expand and contract like magic, while tuples stay unchangeable once created. Grasping these basics will give you a solid foundation for any project. Dive into Data Types
  2. Python Programming Language - Wikipedia
  3. Master Control Flow with Conditionals and Loops - Learn to steer your code using if, elif, else statements and loops like for and while. Whether you're filtering data or repeating tasks, these tools let you automate with ease. Try looping through a range to see repetitive work vanish in seconds! Explore Control Flow
  4. Python Basics on Coursera
  5. Develop Proficiency in Function Creation and Usage - Functions are your secret weapon for cleaner, reusable code. Practice defining functions with parameters, return values, and explore default and keyword arguments to make your code extra flexible. Soon you'll be calling your own custom helpers like a pro! Learn About Functions
  6. Python Programming on Coursera
  7. Implement Effective Error Handling and Debugging Techniques - Don't let errors ruin your day - use try, except, and finally to catch exceptions and keep your programs running smoothly. Combine that with debugging tools to track down bugs faster than a detective on a trail. You'll debug with confidence in no time! Handle Errors Gracefully
  8. 20 Essential Python Concepts
  9. Grasp the Fundamentals of Object-Oriented Programming (OOP) - Dive into classes, objects, inheritance, and encapsulation to structure your code like a true architect. Build blueprints (classes) and spin off objects that carry their own data and behaviors. It's the key to scalable, maintainable projects. OOP Essentials
  10. Python Concepts on Coursera
  11. Explore List Comprehensions for Concise Code - List comprehensions let you create lists in a flash, like [x**2 for x in range(10)] to build a squares list in a single line. This trick makes your code both readable and powerful. Give it a try and watch your loops shrink! Try List Comprehensions
  12. Master Python Key Concepts
  13. Understand the Use of *args and **kwargs in Functions - These wildcards let your functions accept any number of positional (*args) and keyword (**kwargs) arguments. You'll build flexible functions that adapt to different inputs without breaking a sweat. Say goodbye to rigid function definitions! Flexible Function Arguments
  14. 20 Essential Python Concepts
  15. Learn About Python Modules and Packages - Organize your code into modules and packages to keep things neat and reusable. With a simple import statement, you unlock a treasure trove of functionality. It's like having a toolbox that grows with your skills! Organize with Modules
  16. Python Programming on Coursera
  17. Practice Using Python's Built-in Functions and Libraries - From math operations to file handling, Python's standard library has you covered. Leveraging these built-ins means less code to write and more problems solved. Dive in and discover all the shortcuts! Built-in Functions & Libraries
  18. Python Coding Guide - York University
  19. Embrace the Use of Decorators for Function Enhancement - Decorators wrap functions to add new behavior without changing their code. They're perfect for logging, timing, and access control - boosting your functions in a snap. Experiment with @decorator syntax and level up your code elegance! Unlock Decorators
  20. 20 Essential Python Concepts
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