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NumPydata~5 mins

np.linspace() for evenly spaced arrays in NumPy - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What does np.linspace() do in NumPy?

np.linspace() creates an array of numbers evenly spaced between a start and an end value.

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beginner
What are the main parameters of np.linspace(start, stop, num)?

start: first number in the array.<br>stop: last number in the array.<br>num: how many numbers to create.

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beginner
If you want 5 numbers from 0 to 10 evenly spaced, what does np.linspace(0, 10, 5) return?

An array: [0., 2.5, 5., 7.5, 10.]

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intermediate
What does the endpoint parameter do in np.linspace()?

endpoint=True (default) means the stop value is included.<br>endpoint=False means the stop value is excluded.

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beginner
How can np.linspace() be useful in real life?

It helps create smooth steps for graphs, animations, or dividing a distance into equal parts.

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What does np.linspace(1, 5, 5) produce?
A[1, 2, 3, 5, 6]
B[1, 1.5, 2, 2.5, 3]
C[1, 3, 5, 7, 9]
D[1, 2, 3, 4, 5]
Which parameter controls how many numbers np.linspace() returns?
Anum
Bstop
Cstart
Dendpoint
What happens if you set endpoint=False in np.linspace(0, 1, 5, endpoint=False)?
AThe array has 6 elements
BThe array includes 1
CThe array excludes 1
DThe array is reversed
Which of these is NOT a use case for np.linspace()?
ARandom number generation
BDividing a range into equal parts
CPlotting smooth curves
DCreating evenly spaced numbers
What type of object does np.linspace() return?
AList
BNumPy array
CTuple
DDictionary
Explain how np.linspace() works and describe its main parameters.
Think about how to create numbers between two points.
You got /5 concepts.
    Describe a real-life example where you might use np.linspace().
    Consider situations needing smooth or equal steps.
    You got /4 concepts.