Lambda Functions

In Python, what is the primary difference between a lambda function and a regular function?

A:

Lambda functions cannot take parameters.

B:

Regular functions cannot be used as arguments in higher-order functions.

C:

Lambda functions are defined with the "def" keyword.

D:

Lambda functions are concise and do not require a formal definition.

Answer: D

Lambda functions are often used for short, specific tasks due to their concise syntax and lack of a formal definition.

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What is the significance of the "lambda" keyword in Python lambda functions?

A:

It stands for "list and map data."

B:

It denotes the creation of anonymous functions.

C:

It signifies "logical and."

D:

It indicates "length" of a function.

Answer: B

The "lambda" keyword is used to create anonymous functions in Python.

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Which built-in function can be used with a lambda function to find the maximum value in an iterable?

A:

min()

B:

max()

C:

sum()

D:

filter()

Answer: B

The max() function can be used with a lambda function to find the maximum value in an iterable based on the lambda function's criteria.

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What does the following lambda function do?

lambda x, y: x if x > y else y

A:

Squares the input.

B:

Returns the sum of x and y.

C:

Returns the larger of the two values.

D:

Multiplies x and y.

Answer: C

The lambda function returns the larger value between x and y using a conditional expression.

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What is the output of the following code?

numbers = [1, 2, 3, 4, 5]
squared = list(map(lambda x: x**2, numbers))
print(squared)

A:

[1, 2, 3, 4, 5]

B:

[1, 4, 9, 16, 25]

C:

[2, 4, 6, 8, 10]

D:

[1, 2, 3, 4, 5, 1, 2, 3, 4, 5]

Answer: B

The map() function applies the lambda function to each element of the list, squaring each number.

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Questions for: Lambda Functions