Matrix Operations and NumPy Functions

Matrix Operations and NumPy Functions

Assessment

Interactive Video

•

Computers

•

9th - 10th Grade

•

Practice Problem

•

Hard

Created by

Thomas White

FREE Resource

This video tutorial explores the use of matrices and arrays in Numpy, highlighting the differences between lists and arrays in Python. It demonstrates how to convert lists to arrays and perform various operations on them. The tutorial also covers matrix operations, including multiplication and transposition, and concludes with a section on calculating eigenvalues and eigenvectors using Numpy's linear algebra package.

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27 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary tool used in the video for writing code?

Visual Studio Code

Spider IDE

PyCharm

Jupyter Notebook

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens when you add two lists in Python?

The elements are added element-wise

An error is thrown

The lists are concatenated

The lists are multiplied

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why can't you perform subtraction directly on lists?

Lists are not indexable

Lists are not iterable

Lists do not support element-wise operations

Lists are immutable

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens if you try to multiply two lists in Python?

The lists are repeated

An error is thrown

The lists are concatenated

The elements are multiplied element-wise

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of adding a scalar to a list?

An error is thrown

The list is converted to an array

The scalar is added to each element

The scalar is ignored

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the result of multiplying a scalar with a list?

The list is repeated

The list is converted to an array

The scalar is ignored

An error is thrown

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you convert a list to a NumPy array?

Using array()

Using np.array()

Using np.convert()

Using list()

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