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Reseach Article

Python in Field of Data Science: A Review

by Mani Butwall, Pragya Ranka, Shuchi Shah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 49
Year of Publication: 2019
Authors: Mani Butwall, Pragya Ranka, Shuchi Shah
10.5120/ijca2019919404

Mani Butwall, Pragya Ranka, Shuchi Shah . Python in Field of Data Science: A Review. International Journal of Computer Applications. 178, 49 ( Sep 2019), 20-24. DOI=10.5120/ijca2019919404

@article{ 10.5120/ijca2019919404,
author = { Mani Butwall, Pragya Ranka, Shuchi Shah },
title = { Python in Field of Data Science: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 49 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number49/30884-2019919404/ },
doi = { 10.5120/ijca2019919404 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:33.492119+05:30
%A Mani Butwall
%A Pragya Ranka
%A Shuchi Shah
%T Python in Field of Data Science: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 49
%P 20-24
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Python is a interpreted object oriented programming language which gaining popularity in field of data science and analytics by creating complex software applications. Python has very large and robust standard libraries which are used for analyzing and visualizing the data. Data scientists have to deal with huge amount of data known as big data. With simple usage and a large set of python libraries, Python has become a popular option to handle big data. Python builds better analytics tools which can help data scientist in developing machine learning models, web services, data mining, classification etc. In this paper we will review various tools which are used by python programmers for efficient data analytics and its scope and comparison with other languages.

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Index Terms

Computer Science
Information Sciences

Keywords

Machine learning data science big data