book chapter · 2026

Object Oriented Programming in Python for Scalable AI Application Development

Shaik Mabasha, Tupili Sangeetha, P. Shanmukh Sagar Kumar

Cited by 0Open access

Abstract

The rapid evolution of artificial intelligence (AI) technologies has intensified the demand for scalable, maintainable, and modular software architectures. Object-oriented programming (OOP), with its core principles of encapsulation, inheritance, and polymorphism, provides a robust foundation for structuring AI systems that can adapt to increasing complexity and changing requirements. This chapter explores the integration of OOP constructs within the Python programming language to design efficient AI applications that support long-term maintainability and seamless scalability. By leveraging class-based abstractions, design patterns, and modular workflow components, AI pipelines can be structured for enhanced reusability, testability, and collaboration. The chapter provides a comprehensive analysis of OOP methodologies applied across core AI development phases, including data preprocessing, model design, hyperparameter configuration, logging, and deployment. Emphasis is placed on aligning Python’s object-oriented capabilities with popular machine learning frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, and CatBoost. Advanced design patterns such as factory, strategy, and MVC are demonstrated to enhance component separation and architectural clarity. The insights presented serve as a practical and theoretical guide for researchers, developers, and engineers seeking to build sustainable AI systems that meet enterprise-grade performance, interpretability, and maintainability standards.

Cite this paper

APA 7

Mabasha, S., Sangeetha, T., & Kumar, P. S. S. (2026). Object Oriented Programming in Python for Scalable AI Application Development. https://doi.org/10.71443/9789349552074-03

MLA 9

Mabasha, Shaik, et al. “Object Oriented Programming in Python for Scalable AI Application Development.” 2026, pp. 68–93, https://doi.org/10.71443/9789349552074-03.

Chicago

Mabasha, Shaik, Tupili Sangeetha, and P. Shanmukh Sagar Kumar. 2026. “Object Oriented Programming in Python for Scalable AI Application Development.” https://doi.org/10.71443/9789349552074-03.

Harvard

Mabasha, S., Sangeetha, T. and Kumar, P.S.S. (2026) ‘Object Oriented Programming in Python for Scalable AI Application Development’. Available at: https://doi.org/10.71443/9789349552074-03.

BibTeX

@incollection{mabasha2026object,
  title = {{Object Oriented Programming in Python for Scalable AI Application Development}},
  author = {Mabasha, Shaik and Sangeetha, Tupili and Kumar, P. Shanmukh Sagar},
  pages = {68--93},
  year = {2026},
  doi = {10.71443/9789349552074-03}
}

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