Higher Order Functions

What are higher-order functions in Python?

a: A function that takes another function as a parameter Explanation

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b: A function that returns a function Explanation

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c: Both (a) and (b) Explanation

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d: None of the above Explanation

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What is the purpose of the strip() function in Python?

a: To remove extra spaces from the beginning and end of a string Explanation

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b: To convert a string into uppercase Explanation

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c: To convert a string into lowercase Explanation

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d: To split a string into a list of substrings Explanation

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Which built-in function is used to convert a string into lowercase in Python?

a: upper() Explanation

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b: strip() Explanation

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c: split() Explanation

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d: lower() Explanation

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In higher order function, the return statement consists of a function

a: Agree Explanation

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b: Disagree Explanation

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c: Maybe Explanation

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d: None of the above Explanation

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Higher order functions are functions which can take a function as a argument and perform some operation according to that function

a: True Explanation

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b: False Explanation

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c: Neither true nor false Explanation

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d: All of the above Explanation

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Which built-in functions are used in the "normalize_school_names" function?(Refer Code in theory section)

a: strip() and upper() Explanation

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b: strip() and lower() Explanation

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c: split() and upper() Explanation

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d: split() and lower() Explanation

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What is the difference between the two versions of the "normalize_school_names" function?(Refer code in theory section)

a: The first version uses fewer built-in functions than the second version. Explanation

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b: The second version is more efficient and simpler, as it uses a list of functions. Explanation

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c: The first version only converts school names to lowercase, while the second version removes extra spaces and converts to lowercase. Explanation

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d: None of the above Explanation

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What is the purpose of the strip() function used in the normalize_school_names function?(Refer code provided in theory section)

a: To convert all strings in the list to uppercase Explanation

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b: To remove any extra spaces at the beginning or end of each string Explanation

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c: To split each string into a list of individual characters Explanation

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d: None of the above Explanation

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What is the purpose of the append() function used in the normalize_school_names function?(Refer code provided in theory section)

a: To convert all strings in the list to lowercase Explanation

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b: To add a new string to the end of the list Explanation

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c: To remove the first element from the list Explanation

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d: None of the above Explanation

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What is the output of the following code? list_of_schools = [' GLENDALE',' OAKRIDGE',' BIRLA','MERIDIAN','DRS',' JOHNSON'] normalized_names_of_school=[] for school_name in list_of_schools: school_name=school_name.strip() school_name=school_name.lower() normalized_names_of_school.append(school_name) print(normalized_names_of_school)

a: [' GLENDALE',' OAKRIDGE',' BIRLA','MERIDIAN','DRS',' JOHNSON'] Explanation

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b: ['GLENDALE', 'OAKRIDGE', 'BIRLA', 'MERIDIAN', 'DRS', 'JOHNSON'] Explanation

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c: ['glendale', 'oakridge', 'birla', 'meridian', 'drs', 'johnson'] Explanation

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d: ['Glendale', 'Oakridge', 'Birla', 'Meridian', 'Drs', 'Johnson'] Explanation

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What is the advantage of using a high-order function in the "normalize_school_names" function?(Refer code provided in theory section)

a: It reduces the complexity of the function and makes it easier to read. Explanation

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b: It makes the function more efficient by reducing the number of loops needed to iterate through each school name. Explanation

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c: It makes the function more flexible and allows different normalization methods to be used. Explanation

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d: All of the above. Explanation

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What is the output of the normalize_school_names function in the second version when applied to the list_of_schools_in_hyderabad?(Refer code provided in theory section)

a: [' GLENDALE', ' OAKRIDGE', ' BIRLA', 'MERIDIAN', 'DRS', ' JOHNSON'] Explanation

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b: ['glendale', 'oakridge', 'birla', 'meridian', 'drs', 'johnson'] Explanation

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c: ['Glendale', 'Oakridge', 'Birla', 'Meridian', 'Drs', 'Johnson'] Explanation

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d: ['GLENDALE', 'OAKRIDGE', 'BIRLA', 'MERIDIAN', 'DRS', 'JOHNSON'] Explanation

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