cmd = 'du -sh ~/datasets'

!{cmd}

6.9G    /home/rajaraman/datasets

import numpy as np
import pandas as pd

def apply_math_special(row):
    return (row.maths *2 + (row.language/2) + (row.history/3) + (row.science/4))

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

df

!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="gpt-4o-mini")

from operator import itemgetter

from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnableLambda
from langchain_openai …

!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

# https://python.langchain.com/docs/how_to/functions/

from langchain_openai import ChatOpenAI

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

from langchain_core.runnables import RunnableLambda
from langchain_core.prompts import …

!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

# https://python.langchain.com/docs/how_to/functions/

from langchain_openai import ChatOpenAI

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

from langchain_core.runnables import RunnableLambda
from langchain_core.prompts import …

!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

# https://python.langchain.com/docs/how_to/functions/

from langchain_openai import ChatOpenAI

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

from langchain_core.runnables import RunnableLambda
from langchain_core.prompts import …

!conda env list

# conda environments:
#
base                     /home/rajaraman/miniconda3
app-ml-services          /home/rajaraman/miniconda3/envs/app-ml-services
evidently312             /home/rajaraman/miniconda3/envs/evidently312
f2                       /home/rajaraman/miniconda3/envs/f2
mai311                   /home/rajaraman/miniconda3/envs/mai311
ml310                    /home/rajaraman/miniconda3/envs/ml310
ml3105                   /home/rajaraman/miniconda3/envs/ml3105
ml311                    /home/rajaraman/miniconda3/envs …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: ml312-2024; pyv: 3.12.7 | packaged by Anaconda, Inc. | (main, Oct  4 2024, 13:27:36) [GCC 11.2.0]'

print(pyu.ps2("pandas faker"))

pandas==2.2.3
faker==33.1.0

from faker import Faker
import pandas as pd …

import xarray as xr
import numpy as np
import pandas as pd

data = np.random.rand(4, 3)

locs = ['TO', 'ML', 'WL']

times = pd.date_range('2000-01-01', periods=4)

abc = xr.DataArray(data, coords=[times, locs], dims=['time …

import numpy as np
import pandas as pd
import random

def xrange(x):
    return iter(range(x))

rnd_1 = [random.randrange(1, 20) for x in xrange(10)]

rnd_1

[16, 3, 18, 19, 1, 13, 17, 3 …