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