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ISSN:2454-4116

International Journal of New Technology and Research

Impact Factor 3.953

(An ISO 9001:2008 Certified Online Journal)
India | Germany | France | Japan

Python for Data Science

( Volume 7 Issue 6,June 2021 ) OPEN ACCESS
Author(s):

Shalini Khandelwal, Vishwas Dhabria, Ankit Tiwari

Keywords:

Machine learning, data science, big data.

Abstract:

Python is an object-oriented programming language that is gaining popularity in the field of data science and analytics by building sophisticated software applications. Python has the largest and most powerful libraries used to analyze and visualize data. Data scientists have to deal with a lot of data known as big data. With easy use and a large set of python libraries, Python has become a popular option for managing large amounts of data. Python builds better analytical tools that can help data scientists in building machine learning models, web resources, data mining, segmentation etc. In this paper we will review the various tools used by python editors to make data analytics more efficient and comprehensive and compare with other languages.

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