Disclaimershroff publishers do not endorse the preview pages of kindle linked to our isbns. All indian reprints of oreilly are printed in grayscalesuccess in data science depends on the flexible and appropriate use of tools. That includes python and r, two of the foundational programming languages in the field. This book guides data scientists from the python and r communities along the path to becoming bilingual. By recognizing the strengths of both languages, youll discover new ways to accomplish data science tasks and expand your skill set.Authors rick scavetta and boyan angelov explain the parallel structures of these languages and highlight where each one excels, whether its their linguistic features or the powers of their open source ecosystems. Youll learn how to use python and r together in realworld settings and broaden your job opportunities as a bilingual data scientist.Learn python and r from the perspective of your current languageunderstand the strengths and weaknesses of each languageidentify use cases where one language is better suited than the otherunderstand the modern open source ecosystem available for both, including packages, frameworks, and workflowslearn how to integrate r and python in a single workflowfollow a case study that demonstrates ways to use these languages together