A new open-source book delivers comprehensive feature engineering guidance for both R and Python users, emphasizing reproducibility through modern dependency management. By integrating renv, Poetry, and Quarto, the project addresses a critical gap in cross-language ML resources while streamlining workflow consistency. This dual-language approach empowers data scientists to transcend tooling silos and focus on core feature transformation techniques.