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Consider this sequence of float-type values: 3.25, 2.5, 1.75, 1.0, 0.25, -0.5, -1.25, -2.0 For the questions below, assume the following line has already been defined: import numpy as np a) In a single line of code, create an array containing exactly those values by using a NumPy function and assign the result to a variable named m. Hint: Look carefully at the values to see if there is a pattern. Note: Do NOT use the NumPy array() function. There are better NumPy functions to choose from. b) Translate the following math equation into a single line of code. Assume that them in the equation is the NumPy array from Part (a). Note the "pi" value within the argument to the cosine function. 3m² + cos(m + n) 4(m-1.3) d=

Consider this sequence of float-type values: 3.25, 2.5, 1.75, 1.0, 0.25, -0.5, -1.25, -2.0 For the questions below, assume the following line has already been defined: import numpy as np a) In a single line of code, create an array containing exactly those values by using a NumPy function and assign the result to a variable named m. Hint: Look carefully at the values to see if there is a pattern. Note: Do NOT use the NumPy array() function. There are better NumPy functions to choose from. b) Translate the following math equation into a single line of code. Assume that them in the equation is the NumPy array from Part (a). Note the "pi" value within the argument to the cosine function. 3m² + cos(m + n) 4(m-1.3) d=

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Consider this sequence of float-type values: 3.25, 2.5, 1.75, 1.0, 0.25, -0.5, -1.25, -2.0 For the questions below, assume the following line has already been defined: import numpy as np a) In a single line of code, create an array containing exactly those values by using a NumPy function and assign the result to a variable named m. Hint: Look carefully at the values to see if there is a pattern. Note: Do NOT use the NumPy array() function. There are better NumPy functions to choose from. b) Translate the following math equation into a single line of code. Assume that the m in the equation is the NumPy array from Part (a). Note the "pi" value within the argument to the cosine function. 3m² + cos(m + n) 4(m-1.3) d =
Transcribed Image Text:Consider this sequence of float-type values: 3.25, 2.5, 1.75, 1.0, 0.25, -0.5, -1.25, -2.0 For the questions below, assume the following line has already been defined: import numpy as np a) In a single line of code, create an array containing exactly those values by using a NumPy function and assign the result to a variable named m. Hint: Look carefully at the values to see if there is a pattern. Note: Do NOT use the NumPy array() function. There are better NumPy functions to choose from. b) Translate the following math equation into a single line of code. Assume that the m in the equation is the NumPy array from Part (a). Note the "pi" value within the argument to the cosine function. 3m² + cos(m + n) 4(m-1.3) d =
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