python -m pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple statsmodels --upgrade --use-deprecated=legacy-resolver See INSTALL.txt for requirements or see the documentation https:/
.github/workflows Migrate tosetup-pythonin GitHub Actions (and enable 3.13 tox buil… Nov 12, 2024 doc RLS: Prepare patsy 1.0.1 Nov 12, 2024 patsy [pre-commit.ci] auto fixes from pre-commit.com hooks Jan 28, 2025 tools Properly close rst file in check-API-refs.py. ...
.github Wheels for win_arm64 (#61463) May 22, 2025 LICENSES PERF: Eliminate circular references in accessor attributes (#58733) May 17, 2024 asv_bench STY: Bump pre-commit checks (#61246) Apr 8, 2025 ci CI: Upgrade to ubuntu-24.04, install Python free threading from conda… ...
The source code is currently hosted on GitHub at:https://github.com/pandas-dev/pandas Binary installers for the latest released version are available at thePython Package Index (PyPI)and onConda. #condaconda install -c conda-forge pandas ...
Statistical data visualization in Python. Contribute to mwaskom/seaborn development by creating an account on GitHub.
Statsmodels: statistical modeling and econometrics in Python - GitHub - camille1/statsmodels: Statsmodels: statistical modeling and econometrics in Python
Statsmodels: statistical modeling and econometrics in Python - GitHub - gpanterov/statsmodels: Statsmodels: statistical modeling and econometrics in Python
https://github.com/statsmodels/statsmodels/issuesAbout Statsmodels: statistical modeling and econometrics in Python statsmodels.sourceforge.net/devel/ Resources Readme License BSD-3-Clause license Stars 0 stars Watchers 1 watching Forks 2.6k forks ...
https://github.com/statsmodels/statsmodels/tags Binaries and source distributions are available from PyPi http://pypi.python.org/pypi/statsmodels/ Binaries can be installed in Anaconda conda install statsmodels Development snapshots are also avaiable in Anaconda ...
Reproducing examples from the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman with Python and its popular libraries: numpy, math, scipy, sklearn, pandas, tensorflow, statsmodels, sympy, catboost, pyearth, mlxtend, cvxpy. Almost all plotting is done ...