PYTHON-BASED NUMERICAL ANALYSIS OF THE LOGISTIC POPULATION GROWTH MODEL
DOI:
https://doi.org/10.5281/zenodo.22211093Abstract
The logistic growth model is widely used to describe population dynamics under limited environmental
resources. This study presents a Python-based numerical analysis of the logistic population growth model using the SciPy,
NumPy, Pandas, and Matplotlib libraries. The governing differential equation is solved numerically, and the results are
compared with the analytical solution. The obtained results show excellent agreement, demonstrating the accuracy and
efficiency of Python for solving ordinary differential equations and modeling population growth. The proposed approach
provides a simple and effective framework for scientific computing and educational applications.
Keywords
Python, scientific computing, numerical analysis, logistic growth model, population dynamics, ordinary differential equations, numerical simulation, SciPy, NumPy, Matplotlib, computational modeling, carrying capacity.References
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