Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - NumPy Exercise

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - NumPy Exercise

Assessment

Interactive Video

Information Technology (IT), Architecture, Mathematics

University

Hard

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main purpose of the exercise mentioned in the video?

To provide solutions for complex problems

To practice what has been learned in the section

To learn new programming languages

To understand the history of matrix multiplication

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the focus of the speed test conducted earlier in the section?

Matrix inversion using numpy

Dot product using numpy and lists

Sorting algorithms using lists

Matrix multiplication using numpy

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the new task introduced in the exercise?

Implementing matrix inversion using lists

Learning about matrix addition

Conducting a speed test for matrix multiplication

Exploring the history of numpy

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What additional challenge is suggested as a bonus in the exercise?

Exploring the history of matrix operations

Testing how matrix multiplication time scales with input size

Implementing matrix addition using numpy

Learning a new programming language

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is required to be implemented using lists in the exercise?

Dot product

Matrix addition

Matrix multiplication

Matrix inversion