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# Linear Regression

# Model
from sklearn.linear_model import LinearRegression
reg=LinearRegression()

# Data
X=[[1], [2], [3], [4], [5], [6]]
Y=[2+1,4+1,6+1,8+1,10+1,12+1]

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s: set={1,2,3,4,5,55,5}
print(s)

# for loop
for i in s:
    print(i)

# add, remove, clear, discard
s.add(33)
print(s)

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t: tuple=(1,2,3,4,5,5,5)

# for loop
for i in t:
    print(i)

# immutable

# count
print(t.count(5))

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l: list=[1,2,3,4,5]

# for loop
for i in l:
    print(i)

# append
l.append(55)
print(l)

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# Parameter in definition, argument in function call

# No args + No return value
def printHello():
    print("Hello")
printHello()

# args + no return value
def printHelloWithName(name):
    print("Hello",name)

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# print 1 to 10 

# using while loop
x=1
while(x<=10):
    print(x)
    x+=1

# using for loop
for i in range(1,11):

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# if elif else

x=15
if(x>18): # Using circular brackets
    print("Eligible to vote")
elif(x==18):
    print("Just became eligible to vote")
elif x<=5: # Using space
    print("You're a child")
else:

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# Arithmetic Operators & Assignment Operators
print(
    5+3,
    5-3,
    5*3,
    5/3,
    5%3,
    5**3,
    5//3
)

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name=input("Enter your name: ")
# input function by default takes string arguments

try:
    x=input("Enter number to add with 5: ")
    print(x+5)
except:
    print("Error")
# What do you think happened?

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# Initializing a variable (declaration is done at the time of initialization)

x=5
y="Hello World"
truthValue=True

# variableName = value

# Primitives: bool, int, float, complex, string
booleanVariableTrue=True