COMPARISON BETWEEN PYTHON, R AND JULIA LANGUAGE IN DATA SCIENCEJournal: International Journal of Computer Science and Mobile Applications IJCSMA (Vol.8, No. 4)
Publication Date: 2020-04-30
Authors : Sreelakshmi Menon; Anjana S Chandran;
Page : 8-11
Keywords : Data Science; Python; R; Julia;
Data science is the field of study that combines domain expertise, programming skills, and knowledge of math and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems that perform tasks which ordinarily require human intelligence. In turn, these systems generate insights that analysts and business users translate into tangible business value. All three languages, Python, R, and Julia are dynamically typed, have a command line interface for the interpreter, and come with great number of additional and useful libraries to support scientific and technical computing. Conveniently, these languages also offer great solutions for easy plotting and visualizations.
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Last modified: 2020-04-11 16:36:16