3.4 - Array Operations
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What operation do you use to add two NumPy arrays?
💡 Hint: Think of basic arithmetic.
How do you square each element in a NumPy array?
💡 Hint: It’s like raising to a power.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does the + operator do on NumPy arrays?
💡 Hint: Think of it like regular addition.
True or False: np.array([1, 2, 3]) ** 2 results in np.array([1, 2, 3, 4]).
💡 Hint: Remember what squaring means.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Suppose you have two arrays, a = np.array([1, 3, 5]) and b = np.array([2, 4, 6]). Write a piece of code to perform and print the results of their addition, multiplication, and element-wise square of array a.
💡 Hint: Combine the operations in a single script.
Explain how using NumPy’s array operations would change if you were to compute predictions using a large dataset instead of just two arrays.
💡 Hint: Think about performance and time efficiency.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.