USS Data Science Numpy Basics Flashcards | StudBud

USS Data Science Numpy Basics

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Test your knowledge on the fundamental concepts and functions of Numpy

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Questions 37

Answers

1
True or false: Lists can store different data types
False
True
2
What is a linked list?
None of these
A data structure
A function
A type of array
3
Which is better for mathematical operations?
None of these
Python lists
Both are equal
Numpy arrays
4
What does 'np.eye(3)' generate?
One matrix
Zero matrix
Random matrix
Identity matrix
5
What does 'np.linspace(1,10,5)' create?
[10,9,8,7,6]
[1,2,3,4,5]
[1,3,5,7,10]
[1,10,5]
6
What does 'reshape' do in Numpy?
Alters structure
Updates type
Modifies size
Changes color
7
Can np.zeros create a vector?
No
Only matrices
Only scalars
Yes
8
True or false: Numpy arrays are mutable
False
True
9
What is an array in Numpy?
Function
Program
Data structure
Variable
10
Which creates a 3x3 matrix of zeros?
np.full((3,3))
np.array((3,3))
np.zeros((3,3))
np.ones((3,3))
11
What result from np.ones(3)?
[0, 0, 0]
[1, 2, 3]
[1, 1, 1]
[3, 3, 3]
12
How to find array maximum in Numpy?
np.sum()
np.min()
np.mean()
np.max()
13
What does 'shape' refer to in Numpy?
Size
Color
Texture
Dimensions
14
What is the main use of Numpy?
Web development
Scientific computing
None of these
Game design
15
Can you slice arrays in Numpy?
Maybe
Never
Yes
No
16
What does 'Numpy' primarily handle?
Images
Music
Data
Text
17
Can np.ones() create multi-dimensional arrays?
No
Rarely
Yes
Sometimes
18
True or false: Numpy is faster than lists
True
False
19
What's the output: np.ones(4)?
[1,1,1,1]
[4,4,4,4]
[1,2,3,4]
[0,0,0,0]
20
What does 'np.full(2,7)' generate?
[2,7]
[7,2]
[7,7]
[2,2]
21
What is a disadvantage of lists?
More flexible
Slower performance
None of these
Easier to use
22
What is a key feature of Numpy?
Linked nodes
Multidimensional arrays
Dynamic resizing
Text storage
23
Which is easier to manipulate?
Python lists
None of these
Numpy arrays
Both are equal
24
What does 'dtype' specify in Numpy arrays?
Data type
Shape
Color
Size
25
Purpose of np.zeros(2,2)?
[0,1],[1,0]
[2,2],[2,2]
[1,1],[1,1]
[0,0],[0,0]
26
True or false: Numpy can handle large datasets
True
False
27
How to change array shape to (2,3)?
shape(2,3)
reshape(2,3)
resize(2,3)
reformat(2,3)
28
What does Numpy stand for?
None of these
Nifty Python
Numerical Python
New Python
29
Which function makes an array of ones?
np.array()
np.zeros()
np.arange()
np.ones()
30
How to combine arrays vertically?
np.concatenate()
np.vstack()
np.append()
np.hstack()
31
What does 'axis' parameter control?
Shape
Size
Direction
Color
32
Which operation is faster in Numpy?
Element-wise addition
Appending elements
None of these
Sorting data
33
How to create an array of zeros in Numpy?
np.array()
np.ones()
np.full()
np.zeros()
34
What does np.arange(5) produce?
[0,5]
[5,4,3,2,1]
[1,2,3,4,5]
[0,1,2,3,4]
35
Can you add arrays of different shapes?
If compatible
Only large ones
Yes, always
No, never
36
Which is more memory efficient?
Python lists
Both are equal
None of these
Numpy arrays
37
True or false: Numpy is for numerical operations
False
True