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 yf
from datetime import datetime

# Define the start and end dates
start = datetime(1976, 1, 1)
end = datetime(2013, 12, 31)

# Download data using yfinance
sp = yf.download('^GSPC', start=start, end=end)

print(sp.head())  # Display the first few rows of data

[*********************100%***********************]  1 of 1 completed

Price           Close       High        Low  Open    Volume
Ticker          ^GSPC      ^GSPC      ^GSPC ^GSPC     ^GSPC
Date                                                       
1976-01-02  90.900002  91.180000  89.809998   0.0  10300000
1976-01-05  92.580002  92.839996  90.849998   0.0  21960000
1976-01-06  93.529999  94.180000  92.370003   0.0  31270000
1976-01-07  93.949997  95.150002  92.910004   0.0  33170000
1976-01-08  94.580002  95.470001  93.410004   0.0  29030000