Author(s)

Boyang Liu ¹

Affiliation(s)

¹ Operation Department, ONUS Global Fulfillment Solutions, Richmond, V6W 1G3, British Columbia, Canada

Corresponding Author

Boyang Liu

ABSTRACT

This article proposes an innovative fully automated analysis framework that focuses on solving fine-grained distributed consistency problems, particularly in the application and performance optimization of web development in Python dynamic language environment. This framework encodes the semantics of object-oriented database operations by designing a Simple Object Intermediate Representation (SOIR) language, and utilizes the reflection mechanism and debugger interface of the Python interpreter to implement a lightweight, high-precision dynamic symbol executor. In addition, a novel database table encoding strategy has been proposed to support a wide range of database query semantics while maintaining validation efficiency. Based on these technologies, this article successfully constructed an automated consistency validation tool that can be applied to existing Python programs to achieve fine-grained consistency model validation. The experimental results show that the effectiveness and practicality of the framework have been verified in multiple practical applications, providing new ideas and methods for the design and optimization of distributed systems in web development.

KEYWORDS

Python Dynamic Symbol Execution, SOIR Intermediate Representation, Distributed Consistency Validation, Web Development Optimization, Automated Analysis Framework

CITE THIS PAPER

Boyang Liu, Innovative Applications and Performance Optimization Strategies of Python Interpreter in Web Development. Journal of Network Computing and Applications (2025) Vol. 10: 1-7. DOI: http://dx.doi.org/10.23977/jnca.2025.100101.

REFERENCES

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