Python and R in Statistics and Data Science - Couverture souple

Jajo, Nethal; Peiris, Shelton

Couverture souple

ISBN 10 : 6206845648 ISBN 13 : 9786206845645

Editeur : LAP LAMBERT Academic Publishing, 2023

Synopsis

This book provides a guide to Python codes and corresponding R codes for data connectivity, manipulation, and analysis as both are useful today. This will supplement and enrich both the Python and R users’ libraries and will support learners/teachers who are using one platform and intending to learn/teach the other.Our goal in writing this book is to help users to translate what they know on Python into an efficient working knowledge of R and vice versa as quickly and easily as possible. We point out how they differ using terminology which is familiar for both Python and R users. One can find any R function by looking up its counterpart in Python and vice versa.This book is aimed for students, academics, professionals and interested people in general who know both Python and R. However, we explain both Python and R codes for statistics and data science, so the readers can easily move from one software to another. This book does not include writing functions or developing packages in Python or R, it is about using the exiting functions or packages in statistics and data science.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 6206845648
• ISBN 13: 9786206845645
• Reliure: Broché
• Nombre de pages: 60
• Coordonnées du fabricant: non disponible
• Personne responsable: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Allemagne