---for example,Data abstraction is a powerful concept in computer science that allows programmers to treat code as objectscar objects, chair objects, people objects, etc. That way, programmers don't have to worry about how code is implementedthey just have to know what it does.Data abstraction mimics how we think about the world. For example, when you want to drive a car, you don't need to knowhow the engine was built or what kind of material the tires are made of. You just have to know how to turn the wheel and pressthe gas pedal.An abstract data type consists of two types of functions:• Constructors: functions that build the abstract data type.• Selectors: functions that retrieve information from the data type.For example, say we have an abstract data type called city. This city object will hold the city's name, and its latitudeand longitude. To create a city object, you'd use a constructor likecity=make_city (name, lat, lon)To extract the information of a city object, you would use the selectors likeget_name (city)get_lat (city)get_lon(city)For example, here is how we would use the make_city constructor to create a city object to represent Berkeley and theselectors to access its information.>>> berkeley = make_city('Berkeley', 122, 37)>>>get_name (berkeley)'Berkeley'>>>get_lat (berkeley)>>>get_lon (berkeley)12237Notice that we don't need to know how these functions were implemented. We are assuming that someone else has definedthem for us.===It's okay if the end user doesn't know how functions were implemented. However, the functions still have to be defined bysomeone. We'll look into defining the constructors and selectors later in this discussion.QuesQuesQuestPoliticianQuestiSubmit We will now use those selectors to write distance, which computes the distance between two city objects. Recall that thedistance between two coordinate pairs, (x1, y1) and (x2, y2) can be found by calculating the sqrt of (x1 - x2)**2 +(y1 - y2) **2. We have already imported sqrt for your convenience, so use that and the appropriate selectors to fill in thefunction.from math import sqrtdef distance (city_1, city_2):||||||F>>> cityl =make_city('cityl', 0, 1)>>> city2 = make_city('city2', 0, 2)>>> distance(city1, city2)1.0**** YOUR CODE HERE ***"

According to the information given:- We have to follow the instruction in order to get the desired…

We will now use those selectors to write distance, which computes the distance between two city objects. Recall that the distance between two coordinate pairs, (x1, y1) and (x2, y2) can be found by calculating the sqrt of (x1 - x2)**2 + (y1 - y2)**2. We have already imported sqrt for your convenience, so use that and the appropriate selectors to fill in the function. from math import sqrt def distance (city_1, city_2): HHH >>> city1 = make_city('city1', 0, 1) >>> city2 = make_city('city2', 0, 2) >>> distance (cityl, city2) 1.0 Bun "*** YOUR CODE HERE *****"

We will now use those selectors to write distance, which computes the distance between two city objects. Recall that the distance between two coordinate pairs, (x1, y1) and (x2, y2) can be found by calculating the sqrt of (x1 - x2)2 + (y1 - y2)2. We have already imported sqrt for your convenience, so use that and the appropriate selectors to fill in the function. from math import sqrt def distance (city_1, city_2): HHH >>> city1 = make_city('city1', 0, 1) >>> city2 = make_city('city2', 0, 2) >>> distance (cityl, city2) 1.0 Bun "* YOUR CODE HERE ***"

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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Use Python Codehow to filter dataframes using python . For example I have a student grade csv table, first, I need to read the csv using pandas library then I want to visualize my student scores (using matplotlib, seaborn, etc) but I only want to visualize those whose scores are 60 and above. so how do i do the code in python.Exampe of Student grades table (csv) : Student name Score Jojo 90 Lili 65 Bibi 50 Sarah 40 Rajah 100 Albert 80 Cherry 75 Jamie 85 So , based on the table above, what doesn't need to be visualized is Bibi and Sarah . Hope you can help me :)
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When do we encapsulate?
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