A SURVEYON PYTHON LIBRARIES AND PACKAGES FOR DATABASES

  • Unique Paper ID: 148041
  • Volume: 5
  • Issue: 12
  • PageNo: 130-133
  • Abstract:
  • Python is a widely used general-purpose, high level programming language mainly developed for emphasis on code readability, and its syntax allows programmers to express concepts in fewer lines of code. Python scripting language that is scalable, reliable, platform independent is gaining attention because of its ease of use and numerous number of inbuilt modules. In this paper, a survey of different papers where Python packages are used to interact with databases are studied. The merits and demerits of each proposed methodology is analysed and presented in a consolidated manner.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{148041,
        author = {RINI SHINY M and Dr. S. Sarathambekai},
        title = {A SURVEYON PYTHON LIBRARIES AND PACKAGES FOR DATABASES},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {12},
        pages = {130-133},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148041},
        abstract = {Python is a widely used general-purpose, high level programming language mainly developed for emphasis on code readability, and its syntax allows programmers to express concepts in fewer lines of code. Python scripting language that is scalable, reliable, platform independent is gaining attention because of its ease of use and numerous number of inbuilt modules.
In this paper, a survey of different papers where Python packages are used to interact with databases are studied. The merits and demerits of each proposed methodology is analysed and presented in a consolidated manner.
},
        keywords = {python, database, API, scripting, RDBMS, NOSQL

},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 5
  • Issue: 12
  • PageNo: 130-133

A SURVEYON PYTHON LIBRARIES AND PACKAGES FOR DATABASES

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