Minimum Ver- sion Notes SciPy 1.7.1 Miscellaneous statistical functions numba 0.53.1 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.19.0 pandas-like API for N-dimensional DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which analysis toolkit, Release 1.5.0rc0 (continued from previous page) Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Wed, 24 Aug 2022 Prob

Minimum Ver- sion Notes SciPy 1.4.1 Miscellaneous statistical functions numba 0.50.1 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.15.1 pandas-like API for N-dimensional DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which analysis toolkit, Release 1.4.2 (continued from previous page) Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sat, 02 Apr 2022 Prob

Minimum Ver- sion Notes SciPy 1.4.1 Miscellaneous statistical functions numba 0.50.1 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.15.1 pandas-like API for N-dimensional DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which analysis toolkit, Release 1.4.4 (continued from previous page) Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Wed, 31 Aug 2022 Prob

Minimum Ver- sion Notes SciPy 1.12.0 Miscellaneous statistical functions numba 0.46.0 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.12.3 pandas-like API for N-dimensional DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which ============================================================================== Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sun, 15 Aug 2021 Prob

Minimum Ver- sion Notes SciPy 1.12.0 Miscellaneous statistical functions numba 0.46.0 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.12.3 pandas-like API for N-dimensional DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which analysis toolkit, Release 1.3.3 (continued from previous page) Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sun, 12 Sep 2021 Prob

Minimum Ver- sion Notes SciPy 1.12.0 Miscellaneous statistical functions numba 0.46.0 Alternative execution engine for rolling operations (see Enhancing Perfor- mance) xarray 0.12.3 pandas-like API for N-dimensional DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which analysis toolkit, Release 1.3.4 (continued from previous page) Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sun, 17 Oct 2021 Prob

HTML parser for read_html (see note) matplotlib 2.2.3 Visualization numba 0.46.0 Alternative execution engine for rolling operations openpyxl 2.6.0 Reading / writing for xlsx files pandas-gbq 0.12 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which ============================================================================== Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Tue, 02 Mar 2021 Prob

HTML parser for read_html (see note) matplotlib 2.2.3 Visualization numba 0.46.0 Alternative execution engine for rolling operations openpyxl 2.6.0 Reading / writing for xlsx files pandas-gbq 0.12 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which ============================================================================== Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Sat, 26 Dec 2020 Prob

HTML parser for read_html (see note) matplotlib 2.2.2 Visualization numba 0.46.0 Alternative execution engine for rolling operations openpyxl 2.5.7 Reading / writing for xlsx files pandas-gbq 0.12 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which ============================================================================== Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Thu, 20 Aug 2020 Prob

HTML parser for read_html (see note) matplotlib 2.2.2 Visualization numba 0.46.0 Alternative execution engine for rolling operations openpyxl 2.5.7 Reading / writing for xlsx files pandas-gbq 0.12 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__, which ============================================================================== Dep. Variable: hr R-squared: 0.685 Model: OLS Adj. R-squared: 0.665 Method: Least Squares F-statistic: 34.28 Date: Tue, 28 Jul 2020 Prob