Python: The alchemist behind AI’s intelligent evolution

Dhruvitkumar V. Talati *

Independent Researcher, USA.
 
Review
International Journal of Science and Research Archive, 2021, 03(01), 235-248.
Article DOI: 10.30574/ijsra.2021.3.1.0169
Publication history: 
Received on 05 July 2021; revised on 24 August 2021; accepted on 28 August 2021
 
Abstract: 
In the constantly evolving landscape of Artificial Intelligence (AI), programming language selection has a defining role in the generation of innovation. This paper examines the harmonious dance between Python and AI, a language that has emerged to be the spine of intelligent systems. In a comprehensive review, we bring forth Python's heterogeneity and dominance in AI design, with applications in real life in machine learning, deep learning, natural language processing, robotics, and more.
A deeper look into the strengths of Python—simplicity, rich libraries, and supportive community—offers a sufficient reason why it is now the choice of AI researchers and developers. No technology is flawless, though; hence, we also mention the shortcomings of Python, such as performance bottlenecks and runtime issues, to present an overall picture.
Since a tremendous amount of programming languages are used in AI, the paper also provides a comparative summary of popular AI-guided languages in terms of their efficiency, scalability, and usability for various AI applications. By providing an overview of Python's prevalence and placement among other AI languages, the research seeks to offer developers, researchers, and professionals decision-making information for AI-project deployment.
 
Keywords: 
Artificial Intelligence; Machine Learning; Python; Deep Learning; AI Programming Languages; Data Science; Computational Intelligence
 
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Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0