Ayeeta

//Explicitly declared
var someVariableName: String = "Explicitly declared variable of type String"
val someIntValue: Int = 343
val someDoubleValue: Double = 343.24



//Implicitly declared
var someVariableName = "Implicitly declared variable of type String"
val someIntValue = 343

Ayeeta

val someVariableName = "Kotin is fun and you can't re-assign me!"

Ayeeta

var someVariableName = "Kotlin is fun!"

Ayeeta

fig = plt.figure(figsize = (12,9))
m = Basemap(projection='mill',
           llcrnrlat =  -90,
           urcrnrlat = 90,
           llcrnrlon = -180,
           urcrnrlon = 180,
           resolution = 'c')

lon_x = users_dataFrame['Longitude'].tolist()
lat_y = users_dataFrame['Latitude'].tolist()

Ayeeta

users_dataFrame = pd.read_csv('users.csv')
users_dataFrame

Ayeeta

tocsv(users_table, 'users.csv')

Ayeeta

users_table = unpackdict(users_table, 'address')
users_table = unpackdict(users_table, 'geo')

#select a few columns
users_table = cut(users_table, 'id', 'name','username','email','phone','city','street','suite','lat','lng')

#rename column headers
users_table = rename(users_table, {'name':'Name','username':'Username','email':'Email','phone':'Phone','city':'City','street':'Street','suite':'Suite','lat':'Latitude', 'lng':'Longitude'})

users_table

Ayeeta

#Extract
users_table = fromdicts(data)
users_table

Ayeeta

jsonurl = urllib.request.urlopen("https://jsonplaceholder.typicode.com/users")
data = json.loads(jsonurl.read())
data

Ayeeta

from petl import look, fromdb,fromjson,fromdicts,unpackdict,cut, todb, rename, tocsv
from matplotlib.pyplot import figure
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from pandas import DataFrame
from plotly.subplots import make_subplots
from shapely.geometry import Point
from geopandas import GeoDataFrame
from mpl_toolkits.basemap import Basemap
import pandas as pd