Question 1

Question 1Assertion (A): Every small unit in a Python programming statement is termed as a token.Reasoning (R): Tokens are not interpreted but are an integral part while designing the code.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

A is true but R is false.ExplanationA token is the smallest element of a Python program that holds meaning for the interpreter. This includes keywords, identifiers, literals, operators, and punctuation symbols. Tokens serve as lexical units, acting as building blocks in the structure of Python code. They are interpreted as essential components of the code, contributing to the design and structure of the program.

Question 2

Question 2Assertion (A): The data type of a variable is taken according to the type of value assigned to it.Reasoning (R): Data types do not require initialization at the time of declaration. This process is described as Dynamic Typing.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

Both A and R are true and R is the correct explanation of A.ExplanationIn Python, we are not required to explicitly declare a variable with its type. Whenever we declare a variable with a value, Python automatically assigns the relevant data type to it based on the assigned value. This process is known as dynamic typing.

Question 3

Question 3Assertion (A): In Python, strings, lists and tuples are called Sequences.Reasoning (R): Sequence is referred to as an ordered collection of values having similar or different data types.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

Both A and R are true and R is the correct explanation of A.ExplanationA sequence is an ordered collection of items in Python, and these items can have similar or different data types. They are indexed by integers. The three main types of sequence data types in Python are strings, lists, and tuples.

Question 4

Question 4Assertion (A): break and continue are termed as Jump statements.Reasoning (R): Jump statements can only be used with looping constructs but not with conditional constructs.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

Both A and R are true and R is the correct explanation of A.ExplanationIn Python, break and continue are categorized as jump statements because they alter the flow of control in loops. Jump statements, such as break and continue, are used within loop constructs to control the flow of execution. Python does not have a switch-case conditional construct. Hence, in Python, jump statements are not used with conditional constructs.

Question 5

Question 5Assertion (A): The conditional flow of control can be defined with the help of if statement.Reasoning (R): if statement executes one or more statements based on the given condition. If the condition evaluates to true, the statement block following the indentation gets executed, otherwise nothing gets executed.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

Both A and R are true and R is the correct explanation of A.ExplanationThe if statement in Python allows conditional flow of control. It evaluates a condition and executes one or more statements based on whether the condition is true or false. If the condition evaluates to true, the statement block following the if statement (indented code) gets executed, otherwise, if the condition is false, that block is skipped, and the program continues with the next statement after the if block.

Question 6

Question 6Assertion (A): Indexing refers to accessing elements of a sequence. Python offers two types of indexing, viz. positive or forward and negative or backward indexing.Reasoning (R): Both forward and backward indexing are implemented in all the sequences, which start with first (1st) index.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

A is true but R is false.ExplanationIndexing in Python refers to accessing elements of a sequence, such as strings, lists, tuples, etc. Python supports two types of indexing: positive (forward) indexing and negative (backward) indexing. In Python, indexing starts from 0, not from the first index (1st index). Forward indexing starts from the first element with an index of 0, while backward indexing starts from the last element with an index of -1.

Question 7

Question 7Assertion (A): Dictionaries in Python are mutable.Reasoning (R): The data inside a dictionary is stored as the key:value pairs enclosed within the curly braces {}.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

Both A and R are true but R is not the correct explanation of A.ExplanationIn Python, dictionaries are mutable, which means we can modify the key-value pairs, add new pairs, or remove existing pairs after the dictionary is created. Dictionaries are created using curly braces {}, and keys are separated from their corresponding values by a colon (:). Each key-value pair is separated by commas (,) within the dictionary.

Question 8

Question 8Assertion (A): There is no difference between a list and a tuple in Python.Reasoning (R): The list elements are enclosed within square brackets [] separated by commas and the tuple elements are enclosed within parentheses () separated by commas.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

A is false but R is true.ExplanationLists are mutable, meaning their elements can be changed after creation, and they are enclosed within square brackets [] separated by commas. On the other hand, tuples are immutable, so their elements cannot be changed after creation, and they are enclosed within parentheses () separated by commas. Hence, list and tuples are not same.

Question 9

Question 9Assertion (A): Both max() and min() functions are implemented on lists as well as tuples in Python.Reasoning (R): The max() and min() functions return the highest and the lowest among a set of values stored in a list or tuple respectively.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

Both A and R are true and R is the correct explanation of A.ExplanationBoth max() and min() functions are implemented on lists as well as tuples in Python. This is true because both functions can operate on any iterable, including lists and tuples. The max() function returns the highest value among a set of values, and the min() function returns the lowest value among a set of values, whether they are stored in a list or a tuple.

Question 10

Question 10Assertion (A): You can add an element in a dictionary using key:value pair.Reasoning (R): A new (key:value) pair is added only when the same key doesn't exist in the dictionary. If the key is already present, then the existing key gets updated and the new entry will be made in the dictionary.Both A and R are true and R is the correct explanation of A.Both A and R are true but R is not the correct explanation of A.A is true but R is false.A is false but R is true.

Accepted Answer

Both A and R are true and R is the correct explanation of A.ExplanationIn Python, dictionaries are mutable, which means we can modify the key:value pairs, add new pairs, or remove existing pairs after the dictionary is created. When adding a new key:value pair to a dictionary, if the key already exists, its corresponding value will be updated. Otherwise, a new (key:value) pair will be added to the dictionary.

Question 11

Question 1Assignment (=) operator is the Python operator responsible for assigning values to the variables.

Accepted Answer