02384cam a2200409 i 4500 20260715002549.0 220712t20212021cauab b 001 0 eng d 2022276282 bnb 020208955 Uk 1492093408 9781492093404 22691349 (OCoLC)1237807360 YDX eng BD-DhBPA rda BD-DhBPA QA76.9.D343 S31845 2021 006.3 23 SCP 2021 Scavetta, Rick J., author. Python and R for the modern data scientist : the best of both worlds / Rick J. Scavetta and Boyan Angelov. First edition. India : Shroff Publishers , 2021 xvi, 179 pages : illustrations, maps ; 24 cm. Includes bibliographical references and index. In the beginning -- R for Pythonistas -- Python for UseRs -- Data format context -- Workflow context -- Using the two languages synergistically -- A case study in bilingual data science. Success 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, you'll 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 it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. -- Data mining. 154913 Python (Computer program language) 154914 R (Computer program language) 154915 Exploration de données (Informatique) 154916 Python (Langage de programmation) 154917 R (Langage de programmation) 154918 Data mining. fast 154913 Python (Computer program language) fast 154914 R (Computer program language) fast 154915 Angelov, Boyan author. 154919 ddc BK 57561 57561 0 0 ddc 0 0 BPATC BPATC GRR 0 006.3 SCP 2021 115468 2026-07-15 00:26:13 2026-07-15 BK