Virtual Labs

Computer Science and Engineering Introductory Data Science Lab Experiments

Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

Contributors

Feedback

Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

Contributors

Feedback

Introduction to NumPy, Arrays and Array Operations

Choose difficulty:

Beginner

Intermediate

Advanced

What is NumPy primarily used for?

a: Creating graphical user interfaces Explanation

Explanation

b: Efficient numerical computation using arrays Explanation

Explanation

c: Managing databases Explanation

Explanation

d: Web development Explanation

Explanation

Which of the following are advantages of NumPy over Python lists?

a: NumPy is slower but easier to use Explanation

Explanation

b: NumPy supports vectorized operations and contiguous memory storage Explanation

Explanation

c: NumPy lists can store mixed data types Explanation

Explanation

d: NumPy automatically connects to databases Explanation

Explanation

Which function is used to create a NumPy array from a Python list?

a: np.create() Explanation

Explanation

b: np.array() Explanation

Explanation

c: array.numpy() Explanation

Explanation

d: np.list() Explanation

Explanation

Which NumPy tool allows efficient iteration over multi-dimensional arrays?

a: np.loop() Explanation

Explanation

b: np.iterator() Explanation

Explanation

c: np.nditer() Explanation

Explanation

d: np.multi_iter() Explanation

Explanation

What does slicing in NumPy allow you to do?

a: Delete elements permanently Explanation

Explanation

b: Extract a subset of elements from an array Explanation

Explanation

c: Convert arrays to lists Explanation

Explanation

d: Create new data types Explanation

Explanation

In 2D array slicing, what does the syntax array[1:3, 0:2] mean?

a: Select all rows and only columns 1–3 Explanation

Explanation

b: Select rows 1 to 2 and columns 0 to 1 Explanation

Explanation

c: Select rows 0 to 1 and all columns Explanation

Explanation

d: Select only the last row Explanation

Explanation

Community Links Sakshat Portal Outreach Portal FAQ: Virtual Labs

AGPL 3.0 & Creative Commons (CC BY-NC-SA 4.0)