Practice Creating Arrays in NumPy - 3.3 | Chapter 3: Understanding NumPy for Machine Learning | Machine Learning Basics
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Creating Arrays in NumPy

3.3 - Creating Arrays in NumPy

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the command to create a 1D array containing elements 5, 6, 7?

💡 Hint: Look for how we created arrays earlier.

Question 2 Easy

How would you define an array?

💡 Hint: Think about what NumPy arrays represent.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What function is used to create a NumPy array?

create.array()
np.array()
array.create()

💡 Hint: Remember the prefix used with NumPy functions.

Question 2

True or False: A 2D NumPy array can represent a matrix.

True
False

💡 Hint: Consider the arrangement of numbers.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have two arrays, a = np.array([2, 4, 6]) and b = np.array([1, 3, 5]). Write a code snippet to find their dot product.

💡 Hint: Remember how to perform element-wise multiplication.

Challenge 2 Hard

Create a 4x4 identity matrix using NumPy and explain its significance.

💡 Hint: Think about the role of identity in matrix equations.

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