requirements.txt

# Specific package versions are specified here to allow more consistent caching
# in GitHub Actions. 
#
# I derived this file from the output of the following command and then edited it
# to match the appropriate syntax:
# conda env export > environment.yml
#
# Dependencies from this file can be installed with the following command:
# pip install -r requirements.txt
#
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: win-64
altair==5.1.2
beautifulsoup4==4.12.2
doit==0.36.0
ipython==8.17.2
jupyter==1.0.0
jupyterlab==4.0.11
linearmodels==5.3
matplotlib==3.8.1
notebook==7.0.6
numpy==1.26.0
openpyxl==3.1.2
pandas==2.1.2
pandas-datareader==0.10.0
pandas-market-calendars==4.3.1
plotly==5.18.0
plotnine==0.12.4
polars==0.19.12
pytest==7.4.3
python-decouple==3.8
python-dotenv==1.0.0
pyxlsb==1.0.10
requests==2.31.0
scikit-learn==1.3.2
scipy==1.11.3
seaborn==0.13.0
statsmodels==0.14.0
streamlit==1.28.1
vega_datasets==0.9.0
wrds==3.1.6
xbbg==0.7.7
xlrd==2.0.1
zstandard==0.22.0