en un clic
wehoop-data
wehoop-data contient 2 skills collectées depuis sportsdataverse, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use when porting Python logic from the SportsDataverse Python package (sdv-py) into a SportsDataverse R package — cfbfastR, hoopR, wehoop, baseballr, fastRhockey, softballR, etc. Enforces a parity-test-first workflow (golden fixture from the Python output → failing testthat test → port → green) plus the tidyverse/data.table idiom map and R package conventions (roxygen2 docs, snake_case, tibble returns, pkgdown reference coverage). Invoke for "port this to cfbfastR", "translate this polars logic to dplyr", "re-implement the sdv-py parser in R", or "bring this Python fix back to the R package".
Use when porting R logic into the Python SportsDataverse package (sdv-py) — e.g. translating an nflfastR / cfbfastR / cfbscrapR / baseballr / hoopR R function, reconciling a fix from the pandas `0.36-live` branch into polars `main`, or re-implementing a modeling recipe (EP/WP/QBR/CPOE) from R. Enforces a parity-test-first workflow (golden fixture from the R output → failing parity test → port → green) and the polars-1x + ID-dtype + no-lookaround conventions. Invoke for "port this R function to polars", "port from nflfastR", "reconcile 0.36-live into main", "translate this dplyr/np.select to polars", or "re-implement the R model recipe in Python".