Assessing Hydrological Factors Affecting the Growth of Cirrhinus cirrhosus Using Python

This study highlights the role of computer based Python programming (which is an interpreted, object-oriented, high-level computer programming language with dynamic semantics) in carp aquaculture by delivering precise and efficient growth assessments. The condition index of the cultured species, Cirrhinus cirrhosus, showed variations across the three ponds, namely Pond 1 (P1), Pond 2 (P2), and Pond 3 (P3). By addressing the hydrological parameters impacting pond performance and harnessing Python programming technologies, aquaculture practices can be optimized for greater productivity and sustainability. Future research should aim to improve the accuracy of Python-based models and explore new applications to further advance aquaculture practice.