"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets.
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
uv init --python=3.10 uv add numpy pandas matplotlib scikit-learn numba econml dowhy scipy seaborn plotnine tableone statsmodels marginaleffects polars ipykernel jupyterlab uv sync ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results