usage: ptl compile [-v | -q] [-c PATH | --no-config] [--pip-tools | --uv | --tool TOOL] [-d DIR] [--only] [LAYERS ...] [COMPILE OPTIONS ...] logging options: -v ...
TL;DR: The best Python libraries for data science are NumPy (numerical arrays), Pandas (data wrangling), Scikit‑learn (classical machine learning), and Matplotlib (plots). These tools are essential ...
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