Review demonstrates computational utility across pharmaceutical sciences and pharmacy curricula, highlighting benefits for modern data-driven drug research.
The growing use of digital technology in healthcare has increased the importance of computational skills in pharmacy. Python is a simple, open-source programming language widely used for data analysis, visualization, modelling, and artificial intelligence. In pharmacy, Python can be applied to pharmacokinetics, pharmaceutical research, drug discovery, formulation development, pharmacovigilance, and clinical data analysis. Introducing basic Python programming into pharmacy education may improve students' analytical abilities and prepare them for modern, technology-driven pharmaceutical research.
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Subhajit Samanta*, Dr. Dhrubo, Jyoti Sen (2026) studied this question.
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