# Example: Loop through a generator and print its values
def sample_generator():
    for i in range(5):  # Generates numbers 0 to 4
        yield i

gen = sample_generator()  # Create the generator

gen

<generator object sample_generator at 0x7fe180371000>

for value in gen:  # Loop through the generator
    print(value)

0
1
2
3
4

from constants import OPENAI_API_KEY

!pip show langchain-openai | grep "Version:"

Version: 0.2.9

import os

os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY

from langchain_openai import ChatOpenAI

model = ChatOpenAI(model="gpt-4o-mini")

from langchain_core.output_parsers import JsonOutputParser


async def _extract_country_names_streaming(input_stream):
    """A function that operates on input streams."""
    country_names_so_far = set()

    async for input in …

import nltk 
import gensim

sample="""Renewed fighting has broken out in South Sudan between forces loyal to the president and vice-president. A reporter in the capital, Juba, told the BBC gunfire and large explosions could be heard all …

from geopy.geocoders import Nominatim
geolocator = Nominatim(user_agent="rajarcsp")
from geopy import distance

l_spadina = geolocator.geocode("28 Spadina Road")

l_spadina_latlong = l_spadina.latitude, l_spadina.longitude

l_spadina_latlong

(43.6966329769175, -79.7940236288173)

l_north_york = geolocator.geocode("5000 Yonge Street")

l_north_york_latlong …

from geopy.geocoders import Nominatim
geolocator = Nominatim(user_agent="rajarcsp")
from geopy import distance

def get_distance(one, two):
    cone = geolocator.geocode(one)
    ctwo = geolocator.geocode(two)

    one_latlong = cone.latitude, ctwo.longitude
    two_latlong = ctwo.latitude, ctwo.longitude …

import requests
import json 

send_url = 'http://api.ipstack.com/50.100.30.136?access_key=49ad529d309a09477749245782d260b8&format=1'

r = requests.get(send_url)
j = json.loads(r.text)

lat = j['latitude']
lon = j['longitude']

print(lat)
print(lon)

43 …

import geocoder

g = geocoder.ip('me')

print(g.latlng)

[43.6909, -79.3098]

test_location = geocoder.ip('151.101.1.69')

print(test_location.latlng)

[37.751, -97.822]

import pandas as pd
import geopandas
import matplotlib.pyplot as plt
from geopy.geocoders import Nominatim

geolocator = Nominatim(user_agent="rajarcsp")

def get_lat_lang(city):
    location = geolocator.geocode(city)
    return location.latitude, location.longitude

to_lat, to_long = get_lat_lang …

import pandas as pd
import geopandas
import matplotlib.pyplot as plt

df = pd.DataFrame(
    {'City': ['Buenos Aires', 'Brasilia', 'Santiago', 'Bogota', 'Caracas'],
     'Country': ['Argentina', 'Brazil', 'Chile', 'Colombia', 'Venezuela'],
     'Latitude': [-34.58, -15.78, -33.45, 4 …

from geopy.geocoders import Nominatim

geolocator = Nominatim(user_agent="rajarcsp")

location = geolocator.geocode("175 5th Avenue NYC")

location

Location(Flatiron Building, 175, 5th Avenue, Flatiron District, Manhattan, Manhattan Community Board 5, New York County, NYC, New York, 10010 …