Python is a popular and versatile programming language known for its simplicity and readability. It's widely used in web development, data analysis, AI, and automation. Python is favored for its clean syntax and extensive library ecosystem. It's employed by companies like Google, Dropbox, Instagram, and NASA

Last updated on:- 6th June 2023

Which of the following is a valid way to comment out multiple lines of code in Python?

/* */

''' '''

In Python, the triple quotes (''' ''') can be used to comment out multiple lines of code. Anything written within the triple quotes is considered a comment and will not be executed.

What is the purpose of the 'pass' statement in Python ?

To define an empty function

To skip a loop iteration

To raise an exception

To import modules

The 'pass' statement in Python is used as a placeholder when a statement is syntactically required but doesn't need to perform any action. It is commonly used to define empty functions or classes.

What is the output of the following code ? print(2 ** 3 ** 2)

512

576

In Python, exponentiation has right-to-left associativity. Therefore, 2 3 2 is equivalent to 2 (3 2) => 2 ** 9 = 512.

What does the 'yield' keyword do in Python ?

It defines a generator function

It returns a value from a function

It stops the execution of a function temporarily

It raises an exception

The 'yield' keyword in Python is used to define a generator function. It allows the function to return a generator object that can be iterated over using a 'for' loop or other iteration constructs.

Which module in Python is commonly used for working with date and time ?

datetime

time

calendar

sys

The 'datetime' module in Python provides classes and functions for working with dates and times. It includes features for creating, manipulating, and formatting dates and times.

What is the purpose of the 'else' clause in a 'try/except' block ?

To handle exceptions

To specify the code that should be executed if an exception occurs

To specify the code that should be executed if no exception occurs

To raise an exception

In a 'try/except' block, the 'else' clause is optional. It is used to specify the code that should be executed if no exception occurs within the 'try' block. If an exception is raised, the code in the 'else' block is skipped.

Which of the following is true about Python decorators ?

Decorators are used to add functionality to a function or class

Decorators are used to modify the behavior of built-in Python functions

Decorators are used to hide sensitive information

Decorators are used to create aliases for functions or classes

Python decorators are used to add or modify the behavior of functions or classes. They allow additional functionality to be applied to a target function or class without modifying its source code.

What is the purpose of the 'global' keyword in Python ?

To declare a variable with global scope

To import modules

To define a class

To skip a loop iteration

The 'global' keyword in Python is used to declare a variable inside a function with global scope. It allows the variable to be accessed and modified from both inside and outside the function.

What is the output of the following code? print(isinstance(1, (int, float)))

True

False

Error

None

The 'isinstance()' function in Python is used to check if an object is an instance of a class or a subclass thereof. In this case, 1 is an instance of the 'int' class, which is one of the given options, so the output is 'True'.

10.

What is the output of the following code? def foo(x=[]): x.append(1) return x print(foo()) print(foo())

[1] [1, 1]

[1] [2]

[1, 1] [2]

[2] [2]

The function 'foo' has a default argument 'x' that refers to a mutable object (list []). When the function is called without providing an argument, the default list is used. However, the default list is shared across multiple function calls. As a result, the append operation modifies the default list, leading to unexpected behavior. The output will be [1] and [1, 1] as the list grows with each function call.

11.

What is the purpose of the 'functools' module in Python?

To perform mathematical operations

To manipulate strings

To handle exceptions

To work with higher-order functions

The 'functools' module in Python provides tools for working with higher-order functions, which are functions that take one or more functions as arguments or return functions as results. It includes functions like 'partial', 'reduce', 'wraps', and 'lru_cache' that are useful for functional programming and improving the functionality of existing functions.

12.

What is the purpose of the '__init__' method in Python classes ?

To initialize the object's state

To define the class's attributes

To define the class's methods

To inherit from a parent class

The 'init' method is a special method in Python classes and is automatically called when a new object is created. It is used to initialize the object's state and perform any necessary setup operations.

13.

Which of the following statements about Python descriptors is true?

Descriptors are used to define class attributes

Descriptors provide a way to override attribute access behavior

Descriptors can only be defined for built-in data types

Descriptors are created using the 'super' keyword

Python descriptors are a powerful mechanism that provides a way to override the default attribute access behavior of an object. They allow you to define how attribute access, such as getting, setting, or deleting, is handled. Descriptors can be used to implement computed properties, enforce constraints, or add additional behavior to attribute access.

14.

What is the output of the following code ? x = 10 y = 5 z = x if x > y else y print(z)

Error

The code uses a conditional expression (also known as a ternary operator) to assign the larger value between 'x' and 'y' to 'z'. In this case, 'x' is greater than 'y', so 'z' is assigned the value of 'x', which is 10.

15.

Which of the following statements about Python generators is not true ?

Generators are functions that return an iterator

Generators use the 'yield' keyword

Generators can only be iterated once

Generators consume less memory compared to lists

Generators in Python are functions that use the 'yield' keyword to return values one at a time, creating an iterator. Unlike lists, generators do not store all the values in memory at once, resulting in lower memory consumption. However, generators can be iterated multiple times.

16.

What is the purpose of the 'with' statement in Python ?

To define a context manager

To import modules

To raise an exception

To skip a loop iteration

The 'with' statement in Python is used to define a context manager. It ensures that a block of code is executed within a specific context, and any necessary setup or cleanup actions are performed automatically, even in the presence of exceptions.

17.

What is the purpose of the '__name__' variable in Python ?

To store the name of the module

To store the name of the class

To store the name of the function

To store the name of the current script

The 'name' variable in Python is a special variable that stores the name of the current script or module. It is typically used to determine whether a module is being run as a standalone script or imported as a module.

18.

What is the output of the following code ? x = [1, 2, 3] y = x x = x + [4] print(y)

[1, 2, 3]

[1, 2, 3, 4]

[4, 3, 2, 1]

Error

In this code, a new list is created by concatenating 'x' with another list [4]. The assignment 'x = x + [4]' creates a new list object and reassigns 'x' to it. However, 'y' still refers to the original list [1, 2, 3], so the output will be [1, 2, 3].

19.

Which of the following statements about Python closures is true ?

Closures can access variables defined in their own scope

Closures can only access global variables

Closures cannot access variables from outer scopes

Closures can only be defined within classes

In Python, closures are functions that remember and access variables from their own enclosing scope, even when they are invoked outside that scope. This allows closures to maintain state and have persistent access to variables defined in their own scope.

20.

Which of the following is true about Python context managers ?

Context managers are used to manage system resources

Context managers are defined using the 'with' statement

Context managers must implement the '__enter__' and '__exit__' methods

All of the above

Python context managers are used to properly manage system resources, such as files or network connections, ensuring they are properly acquired and released. They are defined using the 'with' statement and must implement the 'enter' and 'exit' methods.

21.

What is the output of the following code ? x = 5 print(f'{x+5}')

x+5

Error

The code uses an f-string (formatted string literal) to print the value of 'x+5'. The expression inside the curly braces is evaluated, so the output will be '10'.

22.

What is the purpose of the 'yield from' statement in Python generators ?

To yield values from another generator

To terminate the generator

To skip a loop iteration

To raise an exception

The 'yield from' statement in Python generators is used to delegate the iteration to another generator. It allows a generator to yield values from another generator, simplifying the process of composing generators and reducing code duplication.

23.

What does the 'asyncio' module in Python provide ?

Support for asynchronous programming

Support for multi-threading

Support for file I/O operations

Support for regular expressions

The 'asyncio' module in Python provides support for asynchronous programming, allowing you to write concurrent code that can efficiently handle I/O-bound and CPU-bound tasks without using threads or blocking the execution.

24.

Which of the following is true about Python metaclasses ?

Metaclasses define the behavior of classes

Metaclasses can be inherited

Metaclasses are instances of the 'type' class

All of the above

Metaclasses in Python are used to define the behavior of classes. They can be inherited, allowing the creation of class hierarchies. Additionally, metaclasses themselves are instances of the 'type' class.

25.

What is the purpose of the 'mro()' method in Python ?

To return the method resolution order of a class

To check if a class is a subclass of another class

To return the attributes and methods of an object

To access the documentation string of a class

The 'mro()' method in Python is used to return the method resolution order of a class. Method resolution order determines the order in which methods are resolved and called in the presence of multiple inheritance.

26.

What is the output of the following code? x = [1, 2, 3] for i in x: x.append(i) print(i, end=' ')

1 2 3

1 2 3 1 2 3

1 2 3 3 2 1

Error

When iterating over a list, it is not recommended to modify the list itself. In this code, new elements are appended to the list 'x' while it is being iterated. As a result, the loop becomes infinite and does not terminate. However, the initial three elements [1, 2, 3] will be printed before the loop becomes infinite.

27.

Which of the following is not a built-in exception in Python ?

ZeroDivisionError

NameError

ValueError

NullPointerException

In Python, 'NullPointerException' is not a built-in exception. However, exceptions like 'ZeroDivisionError', 'NameError', and 'ValueError' are commonly used and provided by the Python language.

28.

What is the purpose of the 'sys' module in Python ?

To interact with the operating system

To perform regular expression operations

To handle exceptions

To manage system resources

The 'sys' module in Python provides access to various system-specific parameters and functions. It allows interaction with the operating system, including tasks like accessing command-line arguments, exiting the program, and interacting with the standard input and output streams.

29.

Which of the following is not a valid method descriptor in Python ?

Static method

Class method

Instance method

Object method

In Python, there is no specific descriptor called 'Object method'. However, static methods, class methods, and instance methods are all valid method descriptors used to define different types of methods in classes.

30.

What is the purpose of the 'logging' module in Python ?

To record events and errors during program execution

To perform mathematical operations

To manipulate strings

To handle network communication

The 'logging' module in Python provides a flexible framework for recording events and errors during program execution. It allows developers to log messages of varying severity levels, which can be useful for debugging, monitoring, and analyzing the behavior of a program.

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Jump To Subject:

Python - II

In Python, the triple quotes (''' ''') can be used to comment out multiple lines of code. Anything written within the triple quotes is considered a comment and will not be executed.

The 'pass' statement in Python is used as a placeholder when a statement is syntactically required but doesn't need to perform any action. It is commonly used to define empty functions or classes.

In Python, exponentiation has right-to-left associativity. Therefore, 2 3 2 is equivalent to 2 (3 2) => 2 ** 9 = 512.

The 'yield' keyword in Python is used to define a generator function. It allows the function to return a generator object that can be iterated over using a 'for' loop or other iteration constructs.

The 'datetime' module in Python provides classes and functions for working with dates and times. It includes features for creating, manipulating, and formatting dates and times.

In a 'try/except' block, the 'else' clause is optional. It is used to specify the code that should be executed if no exception occurs within the 'try' block. If an exception is raised, the code in the 'else' block is skipped.

Python decorators are used to add or modify the behavior of functions or classes. They allow additional functionality to be applied to a target function or class without modifying its source code.

The 'global' keyword in Python is used to declare a variable inside a function with global scope. It allows the variable to be accessed and modified from both inside and outside the function.

The 'isinstance()' function in Python is used to check if an object is an instance of a class or a subclass thereof. In this case, 1 is an instance of the 'int' class, which is one of the given options, so the output is 'True'.

The 'init' method is a special method in Python classes and is automatically called when a new object is created. It is used to initialize the object's state and perform any necessary setup operations.

The code uses a conditional expression (also known as a ternary operator) to assign the larger value between 'x' and 'y' to 'z'. In this case, 'x' is greater than 'y', so 'z' is assigned the value of 'x', which is 10.

Generators in Python are functions that use the 'yield' keyword to return values one at a time, creating an iterator. Unlike lists, generators do not store all the values in memory at once, resulting in lower memory consumption. However, generators can be iterated multiple times.

The 'with' statement in Python is used to define a context manager. It ensures that a block of code is executed within a specific context, and any necessary setup or cleanup actions are performed automatically, even in the presence of exceptions.

The 'name' variable in Python is a special variable that stores the name of the current script or module. It is typically used to determine whether a module is being run as a standalone script or imported as a module.

In this code, a new list is created by concatenating 'x' with another list [4]. The assignment 'x = x + [4]' creates a new list object and reassigns 'x' to it. However, 'y' still refers to the original list [1, 2, 3], so the output will be [1, 2, 3].

In Python, closures are functions that remember and access variables from their own enclosing scope, even when they are invoked outside that scope. This allows closures to maintain state and have persistent access to variables defined in their own scope.

Python context managers are used to properly manage system resources, such as files or network connections, ensuring they are properly acquired and released. They are defined using the 'with' statement and must implement the 'enter' and 'exit' methods.

The code uses an f-string (formatted string literal) to print the value of 'x+5'. The expression inside the curly braces is evaluated, so the output will be '10'.

The 'yield from' statement in Python generators is used to delegate the iteration to another generator. It allows a generator to yield values from another generator, simplifying the process of composing generators and reducing code duplication.

The 'asyncio' module in Python provides support for asynchronous programming, allowing you to write concurrent code that can efficiently handle I/O-bound and CPU-bound tasks without using threads or blocking the execution.

Metaclasses in Python are used to define the behavior of classes. They can be inherited, allowing the creation of class hierarchies. Additionally, metaclasses themselves are instances of the 'type' class.

The 'mro()' method in Python is used to return the method resolution order of a class. Method resolution order determines the order in which methods are resolved and called in the presence of multiple inheritance.

In Python, 'NullPointerException' is not a built-in exception. However, exceptions like 'ZeroDivisionError', 'NameError', and 'ValueError' are commonly used and provided by the Python language.

The 'sys' module in Python provides access to various system-specific parameters and functions. It allows interaction with the operating system, including tasks like accessing command-line arguments, exiting the program, and interacting with the standard input and output streams.

In Python, there is no specific descriptor called 'Object method'. However, static methods, class methods, and instance methods are all valid method descriptors used to define different types of methods in classes.

The 'logging' module in Python provides a flexible framework for recording events and errors during program execution. It allows developers to log messages of varying severity levels, which can be useful for debugging, monitoring, and analyzing the behavior of a program.

Jump To Subject:

Python - II

In Python, the triple quotes (''' ''') can be used to comment out multiple lines of code. Anything written within the triple quotes is considered a comment and will not be executed.

The 'pass' statement in Python is used as a placeholder when a statement is syntactically required but doesn't need to perform any action. It is commonly used to define empty functions or classes.

In Python, exponentiation has right-to-left associativity. Therefore, 2 ** 3 ** 2 is equivalent to 2 ** (3 ** 2) => 2 ** 9 = 512.

The 'yield' keyword in Python is used to define a generator function. It allows the function to return a generator object that can be iterated over using a 'for' loop or other iteration constructs.

The 'datetime' module in Python provides classes and functions for working with dates and times. It includes features for creating, manipulating, and formatting dates and times.

In a 'try/except' block, the 'else' clause is optional. It is used to specify the code that should be executed if no exception occurs within the 'try' block. If an exception is raised, the code in the 'else' block is skipped.

Python decorators are used to add or modify the behavior of functions or classes. They allow additional functionality to be applied to a target function or class without modifying its source code.

The 'global' keyword in Python is used to declare a variable inside a function with global scope. It allows the variable to be accessed and modified from both inside and outside the function.

The 'isinstance()' function in Python is used to check if an object is an instance of a class or a subclass thereof. In this case, 1 is an instance of the 'int' class, which is one of the given options, so the output is 'True'.

The '__init__' method is a special method in Python classes and is automatically called when a new object is created. It is used to initialize the object's state and perform any necessary setup operations.

The code uses a conditional expression (also known as a ternary operator) to assign the larger value between 'x' and 'y' to 'z'. In this case, 'x' is greater than 'y', so 'z' is assigned the value of 'x', which is 10.

Generators in Python are functions that use the 'yield' keyword to return values one at a time, creating an iterator. Unlike lists, generators do not store all the values in memory at once, resulting in lower memory consumption. However, generators can be iterated multiple times.

The 'with' statement in Python is used to define a context manager. It ensures that a block of code is executed within a specific context, and any necessary setup or cleanup actions are performed automatically, even in the presence of exceptions.

The '__name__' variable in Python is a special variable that stores the name of the current script or module. It is typically used to determine whether a module is being run as a standalone script or imported as a module.

In this code, a new list is created by concatenating 'x' with another list [4]. The assignment 'x = x + [4]' creates a new list object and reassigns 'x' to it. However, 'y' still refers to the original list [1, 2, 3], so the output will be [1, 2, 3].

In Python, closures are functions that remember and access variables from their own enclosing scope, even when they are invoked outside that scope. This allows closures to maintain state and have persistent access to variables defined in their own scope.

Python context managers are used to properly manage system resources, such as files or network connections, ensuring they are properly acquired and released. They are defined using the 'with' statement and must implement the '__enter__' and '__exit__' methods.

The code uses an f-string (formatted string literal) to print the value of 'x+5'. The expression inside the curly braces is evaluated, so the output will be '10'.

The 'yield from' statement in Python generators is used to delegate the iteration to another generator. It allows a generator to yield values from another generator, simplifying the process of composing generators and reducing code duplication.

The 'asyncio' module in Python provides support for asynchronous programming, allowing you to write concurrent code that can efficiently handle I/O-bound and CPU-bound tasks without using threads or blocking the execution.

Metaclasses in Python are used to define the behavior of classes. They can be inherited, allowing the creation of class hierarchies. Additionally, metaclasses themselves are instances of the 'type' class.

The 'mro()' method in Python is used to return the method resolution order of a class. Method resolution order determines the order in which methods are resolved and called in the presence of multiple inheritance.

In Python, 'NullPointerException' is not a built-in exception. However, exceptions like 'ZeroDivisionError', 'NameError', and 'ValueError' are commonly used and provided by the Python language.

The 'sys' module in Python provides access to various system-specific parameters and functions. It allows interaction with the operating system, including tasks like accessing command-line arguments, exiting the program, and interacting with the standard input and output streams.

In Python, there is no specific descriptor called 'Object method'. However, static methods, class methods, and instance methods are all valid method descriptors used to define different types of methods in classes.

The 'logging' module in Python provides a flexible framework for recording events and errors during program execution. It allows developers to log messages of varying severity levels, which can be useful for debugging, monitoring, and analyzing the behavior of a program.

In Python, exponentiation has right-to-left associativity. Therefore, 2 3 2 is equivalent to 2 (3 2) => 2 ** 9 = 512.

The 'init' method is a special method in Python classes and is automatically called when a new object is created. It is used to initialize the object's state and perform any necessary setup operations.

The 'name' variable in Python is a special variable that stores the name of the current script or module. It is typically used to determine whether a module is being run as a standalone script or imported as a module.

Python context managers are used to properly manage system resources, such as files or network connections, ensuring they are properly acquired and released. They are defined using the 'with' statement and must implement the 'enter' and 'exit' methods.