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Quizzes > Computers & Technology > Programming & Software

Ultimate Advanced Python Quiz: Prove Your Expertise

Think you can ace this python programming online test? Dive in!

Difficulty: Moderate
2-5mins
Learning OutcomesCheat Sheet
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Ready to push your Python skills to the next level? Dive into our free programming quiz python, packed with expert-level questions on data structures, control flow, object-oriented concepts, and optimization. Whether you're brushing up on fundamentals or mastering advanced topics, this python programming online test adapts to your level, helping you identify strengths, reveal knowledge gaps, and reinforce best practices. Perfect for budding developers aiming for an online python exam or seasoned coders sharpening their toolkit, our quiz offers instant scoring and real-world scenarios. Get started now with our python programming quiz or tackle the interactive python online test - and ace every challenge with confidence!

What is the output of the following code: print([x*x for x in range(3)])?
[1, 4]
[0, 1, 4, 9]
[0, 1, 4]
Error
The code uses a list comprehension to compute x*x for each x in range(3). range(3) yields the sequence 0, 1, and 2. Squaring these values produces 0, 1, and 4, which are collected into a list.
Which keyword is used to define an anonymous function in Python?
def
lambda
func
anonymous
The lambda keyword in Python creates an anonymous function at runtime. Unlike def, it defines a small one-line function without a name. Lambda functions can have any number of arguments but only one expression.
Which of these is a valid way to merge two dictionaries d1 and d2 in Python 3.9?
d1 | d2
d1 + d2
d1.concat(d2)
merge(d1, d2)
Starting with Python 3.9, the merge (|) operator can combine two dictionaries into a new one. The original dictionaries remain unchanged. Older methods included unpacking or update() but the pipe syntax is now the preferred concise form.
What is the boolean value of an empty list [] in Python?
Error
None
False
True
In a boolean context, empty sequences such as lists, tuples, and strings evaluate to False. This is defined in Python's truth value testing rules. Any non-empty sequence would evaluate to True.
What is the output of bool(0)?
None
0
False
True
In Python's truth value testing, zero of any numeric type is considered False. The bool() function converts its argument to a Boolean value following these rules. Thus bool(0) returns False.
Which built-in function returns the number of items in a list?
count()
size()
len()
length()
The len() function returns the number of items in any sequence or collection. Methods like count() return occurrences of a specific value, not the overall size. Python does not provide built-in functions named size() or length().
What does the 'is' operator check for?
Object identity
Equality of values
Type matching
Membership
In Python, the is operator tests whether two variables point to the same object in memory. It compares object identities rather than values. To compare values, use the == operator.
Which of the following is the correct syntax to create a generator expression?
{x for x in range(5)}
[x for x in range(5)]
(x for x in range(5))
Generator expressions use parentheses and return a generator iterator. List comprehensions use brackets and return a list, while set comprehensions use braces. The angled bracket syntax is not valid in Python.
How can you open a file 'data.txt' and ensure it is closed automatically after reading?
using file('data.txt')
f = open('data.txt')
open('data.txt') as f:
with open('data.txt') as f:
Using the with statement invokes the file object's context manager, guaranteeing that the file is closed when the block exits, even if an error occurs. Directly calling open() requires an explicit f.close() to prevent resource leaks. The with syntax is the recommended practice.
How do you catch both ValueError and TypeError in a single except clause?
except ValueError, TypeError:
except ValueError and TypeError:
except (ValueError, TypeError):
except ValueError | TypeError:
You can specify a tuple of exception types to catch multiple exceptions in one except block. The correct syntax is except (ValueError, TypeError):. Other forms either produce syntax errors or do not achieve the intended behavior.
What is the effect of the @staticmethod decorator in a class?
Always returns static value
Same as @classmethod
Defines a method bound to class rather than object
Defines a method that does not receive an implicit first argument
A static method in Python does not receive any implicit first argument (no self or cls). It behaves like a regular function but resides in the class's namespace. Unlike classmethod, it cannot access or modify class state.
What is the purpose of __init__.py in a Python package?
To initialize package variables at runtime
To improve import performance
To indicate the directory is a package
No purpose in Python 3
An __init__.py file signals to the Python interpreter that a directory should be treated as a package. It can also run package initialization code, but its essential function is package declaration. Although Python 3.3+ supports implicit namespace packages without it, explicit packages still use __init__.py.
Which function from the 'copy' module is used to create a shallow copy of an object?
copy.clone()
copy.deepcopy()
copy.copy()
copy.shallow()
copy.copy() returns a shallow copy of the given object, copying only the top-level structure. For recursive copying of nested objects, copy.deepcopy() is used. There are no copy.shallow() or copy.clone() functions.
What does the 'pass' statement do in Python?
Raises an exception
Terminates a loop
Skips to next iteration
Does nothing
The pass statement is a null operation in Python. It is used as a placeholder in blocks where a statement is syntactically required but no action is needed. It does not alter the control flow.
Which statement correctly imports only the 'sqrt' function from the 'math' module?
import sqrt from math
from math import *
from math import sqrt
import math.sqrt
The correct syntax to import a specific function is from math import sqrt. import math.sqrt is invalid, and from math import * brings in all names from the module.
What is printed by the following code snippet? def func(a, L=[]): L.append(a); return L print(func(1)) print(func(2))
[1, 2] [1, 2]
[1] [2]
[1] [1, 2]
[1] []
Default argument values are evaluated once at definition time. The list L persists across function calls, so func(1) returns [1] and subsequent func(2) appends to the same list, yielding [1, 2].
Which method is called when an object is converted to a string using str()?
__str__
__repr__
__unicode__
__format__
The str() function invokes the __str__ method of an object to produce a user-friendly string representation. If __str__ is not defined, Python falls back to __repr__. __format__ is used for the format() built-in. __unicode__ is not used in Python 3.
How can you create a custom iterator in Python?
Subclass the Iterator class
Use a generator function
Use iter() on a list
Define __iter__() returning self and __next__() methods
A custom iterator class must implement __iter__, returning the iterator object, and __next__, which returns each successive element and raises StopIteration at the end. Generator functions provide iterator behavior but are not custom iterator classes.
What will the following generator function produce? def gen(): for i in range(3): yield i; yield from range(3,5) print(list(gen()))
Error
[0, 1, 2, 3]
[3, 4]
[0, 1, 2, 3, 4]
The generator yields 0, 1, and 2 in the first loop, then yield from appends all items from range(3,5), which are 3 and 4. Thus list(gen()) returns [0, 1, 2, 3, 4].
How can you define a context manager using a class?
Define __start__ and __stop__
Use the @contextmanager decorator
Implement __init__() only
Implement __enter__() and __exit__() methods
Class-based context managers require __enter__ and __exit__ methods. __enter__ runs when entering the with block and can return a resource, while __exit__ handles cleanup and exception suppression. Other methods do not establish a context manager protocol.
What is a descriptor in Python?
A type of generator
An object attribute with binding behavior, defined by methods __get__, __set__, or __delete__
A function that describes other functions
A design pattern for describing classes
A descriptor is an object attribute with special binding behavior implemented via __get__, __set__, or __delete__ methods. Attributes like property(), staticmethod, and method descriptors use this protocol. Descriptors control attribute access and are part of Python's object model.
How do you create a decorator that accepts arguments?
Use decorator module
Define a three-layer nested function
Define decorator and pass args at call
Use @decorator(args) directly without nesting
To create a decorator that takes arguments, you implement an outer function to capture decorator parameters, an inner function that takes the function to decorate, and an innermost wrapper function to execute the original function. This pattern requires three nested functions.
What is the Global Interpreter Lock (GIL) in CPython?
A mutex that prevents multiple native threads from executing Python bytecodes simultaneously
A lock for file I/O operations
A Python performance indicator
A security feature
In CPython, the Global Interpreter Lock (GIL) is a mutex that ensures only one thread executes Python bytecode at a time, simplifying memory management. This design can limit performance for CPU-bound multi-threaded programs. Other Python implementations may not use the GIL.
How can you define a custom metaclass to modify class creation in Python?
Use a decorator on the class definition
Use import hooks to change class objects
Implement a __metaclass__ method in the class body
Inherit from type and override __new__ or __init__
Custom metaclasses are created by subclassing type and overriding its __new__ or __init__ methods, which allows you to customize how classes are instantiated. You assign the metaclass using the metaclass keyword in the class definition.
In asyncio, how do you run an async function from a synchronous context?
Use await without async
Use threading.run()
Call the function directly
Use asyncio.run()
The asyncio.run() function provides a simple way to execute a coroutine from synchronous code by creating and managing an event loop. Calling an async function directly returns a coroutine object without executing it. await works only within async functions.
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Study Outcomes

  1. Understand Advanced Data Structures -

    Master lists, dictionaries, sets, and tuples to handle complex data manipulation tasks confidently during your programming quiz python experience.

  2. Apply and Create Decorators -

    Learn to craft and utilize decorators for cleaner, reusable code, enhancing your skills for any python programming online test challenge.

  3. Optimize Python Code Performance -

    Identify bottlenecks and implement best practices to write efficient, high-performance scripts that stand out in an online python exam.

  4. Analyze Complex Python Snippets -

    Break down and interpret intricate code examples to improve problem-solving speed and accuracy in a python programming test online.

  5. Prepare for Coding Interviews -

    Tackle expert-level questions that mirror real interview scenarios, boosting your confidence and readiness for technical screenings.

  6. Self-Assess Knowledge with Real-Time Feedback -

    Receive instant results and explanations to identify strengths and gaps, guiding your next steps in mastering Python concepts.

Cheat Sheet

  1. List Comprehensions & Generator Expressions -

    List comprehensions (e.g., [x*2 for x in nums]) let you write concise, readable loops, while generator expressions produce values lazily to save memory. Refer to PEP 289 and the official Python docs to understand when to choose each approach for optimal performance in your programming quiz python challenges.

  2. Mutable vs. Immutable Data Structures -

    Knowing that lists and dictionaries are mutable while tuples and frozensets are immutable helps prevent unexpected side effects and improves safety when using them as keys in dicts or items in sets. Review the Python standard library documentation to solidify these distinctions before any python programming online test.

  3. Decorators & Closures -

    Decorators wrap functions to extend behavior without modifying their code, and closures capture enclosing scope variables for flexible callbacks - see functools.wraps in the official docs for best practices. Experiment with writing a @timer decorator to measure execution time as you prepare for an online python exam.

  4. Context Managers & the "with" Statement -

    Context managers (defined by __enter__ and __exit__ methods) automate resource setup and cleanup, ensuring files or locks are properly released. Use contextlib.contextmanager to build custom managers and practice these patterns for your python programming test online.

  5. Asyncio, Concurrency & Parallelism -

    Asyncio's event loop and async/await keywords enable efficient I/O-bound concurrency, while threading and multiprocessing handle CPU-bound tasks - know when to use each model. Review the asyncio documentation and try simple async def examples to ace your python online test.

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