Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - NumPy Exercise
Interactive Video
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Information Technology (IT), Architecture, Mathematics
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University
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Practice Problem
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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
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