Integer random with integers() in NumPy - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does numpy.random.Generator.integers() do?

It generates random integers from a specified range, similar to picking random numbers from a hat between a low and high value.

beginner

What parameters are needed for integers() to generate random numbers?

You need to provide low (start of range), high (end of range, exclusive), and optionally size (how many numbers to generate).

intermediate

How is integers() different from randint() in NumPy?

integers() is part of the new random Generator API, offering better performance and features, while randint() is from the older RandomState API.

beginner

What happens if you set size=None in integers()?

It returns a single random integer instead of an array of integers.

intermediate

Why is it better to use numpy.random.default_rng().integers() over older random functions?

Because it uses a newer, more reliable random number generator that is faster and has better statistical properties.

Which parameter in integers() defines the upper limit (exclusive) of the random numbers?

A low

B high

C size

D endpoint

The high parameter sets the exclusive upper bound for the random integers.

What does size=5 do in integers(low=0, high=10, size=5)?

A Generates integers from 0 to 5

B Generates integers up to 10

C Generates 5 random integers

D Generates a single integer

The size parameter controls how many random integers are generated.

What is the default behavior if size is not specified in integers()?

A Returns an empty array

B Returns an array of size 1

C Returns an error

D Returns a single integer

If size is None, integers() returns a single integer.

Which of these is the correct way to create a random integer generator in NumPy?

A numpy.random.default_rng().integers()

B numpy.random.random()

C numpy.random.randint()

D numpy.random.integers()

default_rng() creates a new Generator object, which then can use integers().

If you want random integers between 1 and 10 inclusive, which integers() call is correct?

A integers(1, 11)

B integers(1, 10)

C integers(0, 10)

D integers(0, 11)

The high parameter is exclusive, so to include 10, set high=11.

Explain how to generate 3 random integers between 5 and 15 using NumPy's integers().

Remember the upper bound is exclusive, so add 1 to include 15.

Describe the advantages of using integers() from the new Generator API over older random integer functions.

Think about reliability and speed improvements.