Impact of Python, Java and R on Data Science

Authors

  • Pallavi Wankhede Asst. Prof, Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Kalyani Malokar Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Amisha Katre Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Sakshi Pathak Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Ashin Shaji Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Vaidehi Karemore Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.

Keywords:

disputes, python, java, programming languages

Abstract

The comparison of programming languages can be a common difficulty of communication amongst software program developers. Every year, programming languages are invented, specified, and carried out in an effort to hold up with the existing programming languages used for Data science. To put such disputes on strong ground, we ought to first recognize how distinct language factors are different from one another. This paper is a comparative study of python, java and R. The impact of these languages on data science is analyzed to understand the scope of these languages.

References

https://www.microsoft.com/en-us/research/blog/living-in-the-fourth-para digm/

https://dfast.site/

https://www.edubridgeindia.com/courses/OTkx/data-analytics-course

https://www.redhat.com/en/topics/middleware/what-is-ide#:~:text=Popul ar%20IDEs-,Overview,graphical%20user%20interface%20(GUI).

https://en.wikipedia.org/wiki/Integrated_development_environment

https://www.dunebook.com/best-r-programming-ide/

https://www.programiz.com/python-programming/ide

https://www.educative.io/blog/best-java-ides-2021

https://www.business2community.com/brandviews/upwork/r-vs-java-vspython- right-project-01551890

https://www.r-bloggers.com/2020/11/web-frameworks-for-r-a-brief-over

view/#:~:text=Features&text=beakr%20(CRAN%2C%20GitHub)%20is,

jug%20package%20by%20Bart%20Smeets.

Reference:https://www.edureka.co/blog/python-frameworks/#4

https://stackify.com/10-of-the-most-popular-java-frameworks-of-2020/

“A STUDY ON PYTHON PROGRAMMING LANGUAGE” Dr .D. Lakshminarayanan and S. Prabhakaran Dogo Rangsang Research

Journal UGC Care Group I Journal ISSN : 2347-7180 Vol-10 Issue-07 No. 12 July 2020

“Large-Scale Dataset of Local Java Software Build Results” Matúš Sulír , Michaela Baˇcíková , Matej Madeja , Sergej Chodarev and Ján

Juhár “data descriptor”.Received: 12 August 2020; Accepted: 19 September 2020; Published: 21 September 2020

Accelerating the world's research. “Python -The Fastest Growing Programming Language” John Kramer. International Research Journal

of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET |

Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 354 “Python – The Fastest Growing Programming Language” K. R. Srinath

https://www.codingninjas.com/codestudio/library/python-ides

https://data-flair.training/blogs/pros-and-cons-of-java/

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Published

18-04-2022

How to Cite

Pallavi Wankhede, Kalyani Malokar, Amisha Katre, Sakshi Pathak, Ashin Shaji, & Vaidehi Karemore. (2022). Impact of Python, Java and R on Data Science. International Journal for Research Publication and Seminar, 13(3), 86–94. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/538

Issue

Vol. 13 No. 3 (2022): Volume 13 | Issue 3 | 2022 (NSCIT)

Section

Original Research Article

License

Copyright (c) 2022 International Journal for Research Publication and Seminar

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