# https://github.com/rajacsp/public-dataset/blob/master/food.csv

from io import BytesIO

import requests
import pandas as pd

FILEPATH = 'https://raw.githubusercontent.com/rajacsp/public-dataset/master/food.csv'

r = requests.get(FILEPATH)

data = r.content

data

b'Food_ID,Food_Name,Category,Price,Calories,Available\n1,Pizza,Fast Food,8.99 …

import pandas as pd
from IPython.display import display

# Example list of tuples
data = [
    (1, 'Alice', 25),
    (2, 'Bob', 30),
    (3, 'Charlie', 35)
]

# Convert the list of tuples to a DataFrame
df = pd.DataFrame(data, columns=['ID', 'Name', 'Age'])

# Set display options
pd.set_option('display.max_rows', 100)
pd.set_option('display …

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"))

pandas==2.2.3

from functools import reduce
product = reduce((lambda x, y: x * y), [1, 2 …

# https://raw.githubusercontent.com/rajacsp/public-dataset/master/zynicide-wine-reviews/winemag-data-130k-v2.csv

# https://github.com/rajacsp/public-dataset

import requests
import pandas as pd
from io import BytesIO

FILEPATH = 'https://raw.githubusercontent.com/rajacsp/public-dataset/master/zynicide-wine-reviews/winemag-data-130k-v2.csv'

response = requests.get(FILEPATH)

data = response.content

onlinedata = BytesIO(data)

df = pd.read_csv(onlinedata …

import pandas as pd

FILEPATH = "../countries-of-the-world.csv"

df = pd.read_csv(FILEPATH)

df.head(2)

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]'

# !pip install yfinance --upgrade --no-cache-dir

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

pandas==2.2.3
yfinance==0.2.51

import yfinance as …

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"))

pandas==2.2.3

import yfinance as yf
import pandas as pd
from datetime import datetime

# Define …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: ml311; pyv: 3.11.10 (main, Oct  3 2024, 07:29:13) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

haystack-ai==2.8.0
ollama-haystack is not installed in the current environment.
python-dotenv==0.21.0