Python Programming

What is a Python metaclass? a) A class that defines the behavior of other classes b) A function used to create classes c) A built-in type for creating methods d) A decorator used for class methods Answer: a) A class that defines the behavior of other classes Explanation: A Python metaclass is a class that […]

What is a Python iterator? a) An object that can be iterated upon, returning elements one at a time b) A function that allows iteration over a sequence of values c) A built-in function for creating loops d) A module that provides tools for string manipulation Answer: a) An object that can be iterated upon,

What is a Python namedtuple? a) A subclass of tuples that allows for named fields b) A built-in function for creating dictionaries c) A specialized list that can hold unique items only d) A function used for creating iterators Answer: a) A subclass of tuples that allows for named fields Explanation: A namedtuple in Python

What is the use of the Python functools module? a) It provides higher-order functions that act on or return other functions b) It is used to work with dates and times c) It provides tools for creating and managing iterators d) It helps in mathematical computations Answer: a) It provides higher-order functions that act on

What is the use of the Python collections module? a) It provides specialized container datatypes b) It simplifies regular expression matching c) It provides advanced mathematical functions d) It helps in managing global variables Answer: a) It provides specialized container datatypes Explanation: The collections module in Python provides specialized container datatypes beyond the built-in list,

What is Python’s itertools module? a) A module that provides tools for creating and working with iterators b) A module that provides mathematical functions c) A module that supports date and time manipulation d) A module for working with regular expressions Answer: a) A module that provides tools for creating and working with iterators Explanation:

What is Python’s Context Manager? a) A way to manage resources such as file streams using the with statement b) A tool for debugging Python code c) A method for managing global variables d) A feature that helps in garbage collection Answer: a) A way to manage resources such as file streams using the with

What is the purpose of Python’s asyncio library? a) To provide support for asynchronous programming in Python b) To improve the performance of multithreaded programs c) To simplify working with dates and times in Python d) To handle file I/O operations Answer: a) To provide support for asynchronous programming in Python Explanation: The asyncio library

What is the purpose of the Python Global Interpreter Lock (GIL)? a) To prevent multiple native threads from executing Python bytecodes at once b) To enable multiprocessing in Python c) To optimize Python’s memory management d) To allow Python code to run faster on multiple CPUs Answer: a) To prevent multiple native threads from executing

What is a Python Closure? a) A function object that remembers values from its enclosing lexical scope even when the program flow is no longer in that scope b) A function that is returned by another function c) A way to define a function without a name d) A method for encapsulating data in classes

What is a Python Decorator? a) A function that modifies the behavior of another function or method b) A tool used to generate random numbers c) A function that returns multiple values d) A method for creating new classes Answer: a) A function that modifies the behavior of another function or method Explanation: A Python

What is a Python Generator? a) A function that returns an iterator which can iterate over a sequence of values b) A function that returns multiple values at once c) A method for creating new objects in Python d) A module used for generating random numbers Answer: a) A function that returns an iterator which

How do you find the maximum value in a NumPy array? a) By using the max() function b) By using the sum() function c) By using the max() method of the array d) By using the sort() function Answer: a) By using the max() function Explanation: You can find the maximum value in a NumPy

How do you concatenate two NumPy arrays? a) By using the concatenate() function b) By using the + operator c) By using the append() function d) By using the stack() function Answer: a) By using the concatenate() function Explanation: You can concatenate two NumPy arrays using the concatenate() function. This function joins the arrays along

What is broadcasting in NumPy? a) The ability to perform operations on arrays of different shapes b) The process of flattening a multidimensional array c) The method of copying data between arrays d) The technique of merging multiple arrays into one Answer: a) The ability to perform operations on arrays of different shapes Explanation: Broadcasting

How do you perform element-wise addition of two NumPy arrays? a) By using the + operator b) By using the add() function c) By using a loop to add corresponding elements d) By using the concatenate() function Answer: a) By using the + operator Explanation: You can perform element-wise addition of two NumPy arrays using

What is the purpose of the linspace() function in NumPy? a) To create an array with a specified number of evenly spaced values between a start and stop value b) To generate random values within a specified range c) To create an array of ones d) To find the minimum and maximum values in an

What does the reshape() method do in NumPy? a) Changes the shape of an array without changing its data b) Reverses the elements of an array c) Flattens a multidimensional array into a 1D array d) Sorts the elements of an array Answer: a) Changes the shape of an array without changing its data Explanation:

How can you create a NumPy array filled with zeros? a) By using the zeros() function b) By using the empty() function c) By using the ones() function d) By using the full() function Answer: a) By using the zeros() function Explanation: You can create a NumPy array filled with zeros by using the zeros()

What is the purpose of the arange() function in NumPy? a) To create an array with evenly spaced values within a given range b) To randomly shuffle the elements of an array c) To concatenate two arrays d) To find the range of values in an array Answer: a) To create an array with evenly

How can you create a NumPy array with a specific data type? a) By using the dtype parameter in the array() function b) By using the type() function c) By using the astype() method d) By specifying the data type after the array is created Answer: a) By using the dtype parameter in the array()

What is a NumPy array? a) A grid of values, all of the same type, indexed by a tuple of non-negative integers b) A list of mixed data types c) A dictionary of key-value pairs d) A single value stored in memory Answer: a) A grid of values, all of the same type, indexed by

What is NumPy in Python? a) A library for numerical computing in Python b) A library for creating graphical user interfaces c) A library for working with regular expressions d) A library for web development in Python Answer: a) A library for numerical computing in Python Explanation: NumPy (Numerical Python) is a powerful library for

What is the use of the threading.current_thread() function? a) It returns the currently executing thread object b) It returns the main thread of the program c) It starts the current thread d) It pauses the current thread Answer: a) It returns the currently executing thread object Explanation: The threading.current_thread() function in Python returns the currently

How can you implement a thread pool in Python? a) By using the concurrent.futures.ThreadPoolExecutor class b) By creating and managing multiple threads manually c) By using the multiprocessing.Pool class d) By using the threading.ThreadGroup class Answer: a) By using the concurrent.futures.ThreadPoolExecutor class Explanation: A thread pool in Python can be implemented using the concurrent.futures.ThreadPoolExecutor class,