The Rise of Python: How This Language is shaping the Future of Tech.

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Title: The Rise of Python: How This Language is shaping the Future of Tech.
Authors: JAYASREE, V. R.
Source: International Scientific Journal of Engineering & Management; Jul2025, Vol. 4 Issue 7, p1-4, 4p
Subject Terms: ARTIFICIAL intelligence, PROGRAMMING languages, TECHNOLOGICAL innovations, WEB development, COMPUTER software development
Abstract: In many domains such as data science, software development, artificial intelligence, automation, web development, chatbots, python is playing crucial role of transformative technology. Python has many advantages over other programming languages such as advanced libraries, user friendly syntaxes and strong support from community. In literature many authors proved the cross-platform compatibility, versatility and simplicity of python programming over traditional programming languages. Python programming is ranked at top in IEEE and other global rankings compare to other languages such as Java, SQL, MATLAB, C language, etc. python is not only providing coding environment but also it provides advanced technology support for research in academic to innovations in industrial domain. This paper focuses on different python evolutions of emerging technologies such as automation, artificial intelligence, data science, etc which is shaping the Future of Tech industries and many different domains. [ABSTRACT FROM AUTHOR]
Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The Rise of Python: How This Language is shaping the Future of Tech.
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  Data: International Scientific Journal of Engineering & Management; Jul2025, Vol. 4 Issue 7, p1-4, 4p
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  Data: <searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence%22">ARTIFICIAL intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22PROGRAMMING+languages%22">PROGRAMMING languages</searchLink><br /><searchLink fieldCode="DE" term="%22TECHNOLOGICAL+innovations%22">TECHNOLOGICAL innovations</searchLink><br /><searchLink fieldCode="DE" term="%22WEB+development%22">WEB development</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTER+software+development%22">COMPUTER software development</searchLink>
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  Data: In many domains such as data science, software development, artificial intelligence, automation, web development, chatbots, python is playing crucial role of transformative technology. Python has many advantages over other programming languages such as advanced libraries, user friendly syntaxes and strong support from community. In literature many authors proved the cross-platform compatibility, versatility and simplicity of python programming over traditional programming languages. Python programming is ranked at top in IEEE and other global rankings compare to other languages such as Java, SQL, MATLAB, C language, etc. python is not only providing coding environment but also it provides advanced technology support for research in academic to innovations in industrial domain. This paper focuses on different python evolutions of emerging technologies such as automation, artificial intelligence, data science, etc which is shaping the Future of Tech industries and many different domains. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jul2025
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