theomitsa

class villa(object):
    def __init__(self,n,id):
        self.villaName=n
    def setPersonalAssistant(self,pa):
        self.personalAssistant=pa
        print(f"{pa} will be on call from 8.00am to 8.00pm for villa {self.villaName}")
    def cleanAndChangeKey(self,d1,d2):
        print(f"Villa {self.villaName} will be cleaned and keys will be changed on {d1} and {d2}")
    def printGiftLabel(self,s):
        print(f"Welcome at the {self.villaName}, {s} party!")

theomitsa

class vipVilla(villa):
    def __init__(self,nn,id):
        villa.__init__(self,nn,id)

    def setPersonalAssistant(self,pa):
        self.vipPersAssist=pa
        print(f"{pa} will be on call (7.00am-9.00pm) for villa {self.villaName} and arrange for a personal yacht")

theomitsa

class guest(object):
    def __init__(self,l1,f1,b,c):
       self.first=l1
       self.last=f1
       self.noofAdults=b
       self.noofChildren=c
    def getLastName(self):
        return self.last
    def __repr__(self):
       return 'Guest: (%s, %s)' % (self.first, self.last)

theomitsa

class resort(object):
      vil=['Elektra','Persephone','Artemis','Kouros']
      vipVil=['Zeus','Alexandrian']
      guestList=[]
      reservationList=[]
      resIDList=[0]
      def __init__(self):
          print("Welcome to Myconos Hidden Cove!")
      def setGuest(self,g):
          self.guestList.append(g)

theomitsa

class reservation(object):
    def __init__(self,n,de,le):
         self.checkinDate=de
         self.lengthofStay=le
         self.villaName=n
         self.checkoutDate=de+datetime.timedelta(days=le)
    def getvillaName(self):
             return self.villaName
    def getcheckinDate(self):
            return self.checkinDate

theomitsa

import pandas as pd
heart_P=pd.read_csv('heart.csv')
#Select first row. Returns Series.
print(heart_P.iloc[0])
#Select first row. Returns Dataframe.
print(heart_P.iloc[[0]])
#Select first column
print(heart_P.iloc[:,0])

theomitsa

```{r}
heart_R<-read.csv("heart.csv",header=TRUE, fileEncoding="UTF-8-BOM")
```
```{python}
import pandas as pd
heart_P=pd.read_csv('heart.csv')
#read only certain columns from a csv file
drop_cols=['thal','thalach']
heart_Pr=pd.read_csv('heart.csv',usecols=lambda cc : cc not in drop_cols, index_col=False)
```

theomitsa

```{r}
library(tidyverse)
set.seed(3)
mat1<-matrix(rnorm(6,12,3), nrow=2)
dimnames(mat1)=list(c("dep1","dep2"),c("Tom","Jim","Sam"))
DepositFrame=as.data.frame(mat1)
print(DepositFrame)

```{python}
import numpy as np

theomitsa

```{r}
#Select first row
print(DepositFrame[1,])
#Print first column
print(DepositFrame[,1])
#Print first element
DepositFrame[1,1]
```
```{python}
import numpy as np

theomitsa

```{r}
#selecting a multitude of columns using select()
DepositFrame%>%select("Tom","Sam")
#Filter using a regular expression
DepositFrame%>%select(matches("S.+m"))%>%glimpse()
#Filter based on a logical expression
DepositFrame %>% select(matches("m"))%>%
  select_if(~max(.,na.rm=TRUE)<12)%>%glimpse()
  
#Print the age of men with high cholesterol