Could you please help me with this code? It has to be written in Python. You must create a loop that runs until the user decides to exit. Use these four lists to make a corporate B.S generator similar to this following link: http://www.atrixnet.com/bs-generator.html Create a two dimensional array and populate it with the 4 lists. aAdverbs = ['appropriately', 'assertively', 'authoritatively', 'collaboratively', 'compellingly', 'competently', 'completely', 'continually', 'conveniently', 'credibly', 'distinctively', 'dramatically'] aAdjectives = ['24/7', '24/365', 'accurate', 'adaptive', 'alternative', 'an expanded array of', 'B2B', 'B2C', 'backend', 'backward-compatible', 'best-of-breed', 'bleeding-edge'] aVerbs = ['actualize', 'administrate', 'aggregate', 'architect', 'benchmark', 'brand', 'build', 'cloudify', 'communicate', 'conceptualize', 'coordinate', 'create', 'cultivate', 'customize'] aNouns = ['action items', 'alignments', 'applications', 'architectures', 'bandwidth', 'benefits', 'best practices', 'catalysts for change', 'channels', 'clouds', 'collaboration and idea-sharing', 'ideas']

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
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Could you please help me with this code?

It has to be written in Python.

You must create a loop that runs until the user decides to exit.

Use these four lists to make a corporate B.S generator similar to this following link: http://www.atrixnet.com/bs-generator.html

Create a two dimensional array and populate it with the 4 lists.

aAdverbs = ['appropriately', 'assertively', 'authoritatively', 'collaboratively', 'compellingly', 'competently', 'completely', 'continually', 'conveniently', 'credibly', 'distinctively', 'dramatically']

aAdjectives = ['24/7', '24/365', 'accurate', 'adaptive', 'alternative', 'an expanded array of', 'B2B', 'B2C', 'backend', 'backward-compatible', 'best-of-breed', 'bleeding-edge']

aVerbs = ['actualize', 'administrate', 'aggregate', 'architect', 'benchmark', 'brand', 'build', 'cloudify', 'communicate', 'conceptualize', 'coordinate', 'create', 'cultivate', 'customize']

aNouns = ['action items', 'alignments', 'applications', 'architectures', 'bandwidth', 'benefits', 'best practices', 'catalysts for change', 'channels', 'clouds', 'collaboration and idea-sharing', 'ideas']

 

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