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Questions and Answers
What is the correct way to write a function mul( ) which accepts a list?
What is the correct way to write a function mul( ) which accepts a list?
- def mul(lst): (correct)
- def mul(list):
- def mul(lis):
- def mul(array):
In the code 'for i in range(len(string))', what does 'len(string)' represent?
In the code 'for i in range(len(string))', what does 'len(string)' represent?
- Last index of the string
- Length of the string (correct)
- Sum of all characters in the string
- First index of the string
What is the correct syntax to access the 'FRONT' element from the list NAV?
What is the correct syntax to access the 'FRONT' element from the list NAV?
- NAV[4]
- NAV[2]
- NAV[1] (correct)
- NAV[3]
In the code 'for S in range[0, 8]:', what is the correct way to iterate through the range?
In the code 'for S in range[0, 8]:', what is the correct way to iterate through the range?
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What is the correct way to define the list 'even_L = [10, 22, 24, 26]'?
What is the correct way to define the list 'even_L = [10, 22, 24, 26]'?
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Study Notes
Writing Functions and Looping Constructs
- A function
mul()that accepts a list can be defined using the syntax:def mul(my_list):. Inside the function, operations on the list can be performed.
Understanding len()
- In the expression
for i in range(len(string)),len(string)calculates the total number of characters in the string, returning an integer that represents the string's length.
Accessing List Elements
- To access the 'FRONT' element from the list
NAV, use the syntaxNAV[0], as list indexing in Python is zero-based.
Correct Syntax for Range Iteration
- The correct way to iterate through a range from 0 to 7 is
for S in range(0, 8):. The use of parentheses is essential instead of square brackets.
Defining Lists
- To define the list
even_L = [10, 22, 24, 26], ensure that it follows the correct syntax using square brackets and comma-separated values.
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Test your knowledge with this Class XII Computer Science sample paper for the half-yearly exam. Practice with questions on programming, algorithms, data structures, and more.
