!python --version

Python 3.12.4

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 …

city = {'name': 'Toronto', 'short_name': 'TO'}

number = {'a': 2, 'b': 3, 'c' : 4}

city

{'name': 'Toronto', 'short_name': 'TO'}

number

{'a': 2, 'b': 3, 'c': 4}

from collections import ChainMap

ab = ChainMap(city, number)

ab

ChainMap({'name': 'Toronto', 'short_name …

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 StrOutputParser
from langchain_core.prompts import ChatPromptTemplate

prompt = ChatPromptTemplate.from_template("tell me a joke about {topic}")
parser = StrOutputParser()
chain …

import numpy as np
import pandas as pd

df = pd.read_csv('marks.csv')

df

import numpy as np
import pandas as pd

df = pd.read_csv("/Users/rajacsp/datasets/sales_data_types.csv")

df

def checkInArray(list, cc):
    #print(len(list))
    for x in list:
        print(x)

        if(x in cc):
            print('x['+x+'] ==> '+cc)
            return True

    return False


domain = "springframework.guru"

if(checkInArray(["baeldung", "abcde.com", "docs.spring.io", "springframework.guru",
                     "logback.qos.ch", "javabeat.net"], domain) ):
    print("java")

baeldung
abcde.com
docs …

import geopandas

world = geopandas.read_file(geopandas.datasets.get_path("naturalearth_lowres"))

world.head()

from bokeh.plotting import figure, output_file, show
from bokeh.io import output_notebook
from bokeh.models import ColumnDataSource

# Set Bokeh output to notebook
output_notebook()

from nltk.stem.cistem import Cistem

c_stemmer = Cistem()

print(c_stemmer.stem("filtering"))

filtering

print(c_stemmer.segment("filtering"))

('filtering', '')

print(c_stemmer.segment("Ausgefeiltere"))

('ausgefeilt', 'ere')

from geopy.geocoders import Nominatim
geoloc = Nominatim(user_agent="rajarcsp", format_string="%s, Toronto ON")

address, (lat, long) = geoloc.geocode("26, Spadina Road")

address

'Spadina Road, The Annex, University—Rosedale, Old Toronto, Toronto, Ontario, M5R 2X3, Canada'