arl = np.array([10,20,30,40])ar2 = np.array([15,6,7])np.vstack ( (arl,ar2))The np.stack() function above willO a. Give errorb. Stack the two arrays ar1 and ar2 horizontallyc. Stack the two arrays ar1 and ar2 verticallyO d. Sums the two arrays art and ar2

arl = np.array([10,20,30,40]) ar2 = np.array([15,6,7]) np.vstack((arl,ar2)) The np.stack() function above will_ O a. Give error O b. Stack the two arrays ar1 and ar2 horizontally O . Stack the two arays ar1 and ar2 vertically O d. Sums the two arrays art and ar2

arl = np.array([10,20,30,40]) ar2 = np.array([15,6,7]) np.vstack((arl,ar2)) The np.stack() function above will_ O a. Give error O b. Stack the two arrays ar1 and ar2 horizontally O . Stack the two arays ar1 and ar2 vertically O d. Sums the two arrays art and ar2

Programming Logic & Design Comprehensive

9th Edition

ISBN:9781337669405

Author:FARRELL

Publisher:FARRELL

Chapter6: Arrays

Section: Chapter Questions

Problem 1RQ

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Concept explainers

Fundamentals of Multithreaded Algorithms

An algorithm that executes a single instruction in a uniprocessor system is called a serial algorithm. In the case of a multiprocessor computer system, a multiprocessor computer can execute multiple instructions in parallel. A multithreaded algorithm is an algorithm that enables multiple instances of the code to be executed concurrently.Multithreading is a concept that allows the CPU to execute threads independently while sharing similar resources. It is an important CPU feature that works on the process. Thread is a sequence of instructions that executes in parallel with other threads. Because of multithreading, multiple tasks can be performed within a single process, making the execution faster.

Question

arl = np.array([10,20,30,40])
ar2 = np.array([15,6,7])
np.vstack ( (arl,ar2))
The np.stack() function above will
O a. Give error
b. Stack the two arrays ar1 and ar2 horizontally
c. Stack the two arrays ar1 and ar2 vertically
O d. Sums the two arrays art and ar2

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