Data Abstraction

BestFood = "ramen"
print(BestFood)

age = 16
print(age)

ramen
16

Siblings = 2
EatingFood = False
firstName = "Josh"
print(str(Siblings) + " is an integer")
print(str(EatingFood) + " is a boolean")
print(str(firstName) + " is a string")

2 is an integer
False is a boolean
Josh is a string

num1 = 1
num2 = 32
num3 = 44
num3 = num1
num1 = num2

num2 = num3
print(str(num1))
print(str(num2))
print(str(num3))

age = 15
newAge = age
newAge = 17
print(str(newAge))

classes = ("3D Animation", "Ap calc", "AHug", "APCSP")
print(classes[1])

Ap calc

A variable is not static, it is changable.

list is ordered sequence of elements
strings are ordered sequence of characters Index mostly starts at zero but on the ap exam they want you to start at 1.

friendsAge = (3, 4, 5, 6, 7, 8)
newFriendsAge = (16, 16, 16, 15, 16)
friendsAge = newFriendsAge
print(str(friendsAge))

(16, 16, 16, 15, 16)

import json
lst = [1,2,3,4,5]
print(type(lst))
a = json.dumps(lst)
print(a)
print(type(a))

<class 'list'>
[1, 2, 3, 4, 5]
<class 'str'>

# variable 1

numStudents = 26
print("Variable 1) " + str(numStudents) + " is a integer")

#variable 2

car = "Tesla"
print("Variable 2) " +str(car) + " is a string")

#variable 3

groupMates = ["Nikki", "Monika", "Ankit", "Varun"]
print("Variable 3) " +str(groupMates) + " is a list")

#Variable 4

dogsbeatcats = True
print("Variable 4) " +str(dogsbeatcats) + " is a boolean")

Variable 1) 26 is a integer
Variable 2) Tesla is a string
Variable 3) ['Nikki', 'Monika', 'Ankit', 'Varun'] is a list
Variable 4) True is a boolean

import json

team = ["Josh", "Ethan", "Matthew", "Lindsay"]
FavoriteFood = "ramen"
age = 16
ILoveVideoGames = True

teamStr = json.dumps(team)

user = input("How many members are in your team?")

if int(user) == len(team):
    print("We have the same amount of members")
elif user != len(team):
    print("we do not have the same members")


print(teamStr)
print(FavoriteFood)
print(age)
print(ILoveVideoGames)

We have the same amount of members
["Josh", "Ethan", "Matthew", "Lindsay"]
ramen
16
True

Reflection:
Data Abstraction:

Data abstraction simplifies complex problems by focusing on essential details.
It involves hiding unnecessary details and exposing what’s relevant.
Data structures, like arrays and linked lists, help organize and manage data.
Abstract data types (ADTs) provide high-level structures for common tasks.
Encapsulation keeps data private and enforces rules through methods.
Abstraction simplifies code, promotes reusability, and enhances readability.
It’s a key concept in computer science for building efficient and maintainable software.

Data Abstraction • 6 min read

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