INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Python and R are two widely adopted programming languages in the domains of data science and statistical analysis. This research paper presents a comprehensive comparison between Python and R, focusing on various aspects such as ease of use, performance, ecosystem, libraries, and community support. We explore the strengths and weaknesses of each language and analyze their suitability for different data-related tasks. Through an in-depth examination of these languages, we aim to provide a valuable resource for professionals and researchers seeking guidance on choosing the most appropriate language for their specific data science and statistical projects.
Keywords:
difference between R and Python, comparison of R and Python, Data Visualization.
Cite Article:
"A Comparative Analysis of Python and R: Two Dominant Languages for Data Science and Statistical Analysis", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d719-d723, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311380.pdf
Downloads:
000118771
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn