ISBN : 978-81-685745-3-3
Basics of Python Programming for Pharmaceutical Sciences (Theory) has been developed exclusively for B.Pharm First Semester students in accordance with the latest syllabus prescribed by the Pharmacy Council of India (PCI). The book introduces the fundamentals of Python programming in a simple, systematic, and student-friendly manner, making it suitable for beginners with no prior programming experience. It provides a strong foundation in programming concepts while highlighting their relevance in pharmaceutical sciences, healthcare, and biomedical research.
The textbook is organized into five comprehensive chapters covering Python fundamentals, control structures and functions, data structures and file handling, data handling with Pandas, and data visualization using Matplotlib. Students learn essential programming concepts such as variables, data types, operators, conditional statements, loops, functions, lists, tuples, dictionaries, NumPy arrays, CSV file handling, Pandas Series and DataFrames, data cleaning, filtering, grouping, and scientific visualization techniques. Practical pharmaceutical applications, including dosage calculations, Body Mass Index (BMI) calculations, pharmacokinetic study datasets, adverse drug reaction (ADR) reports, and healthcare data analysis, enable students to connect programming with real-world pharmacy practice.
Designed with an application-oriented approach, this textbook includes clear explanations, solved Python programs, pharmaceutical examples, and review questions to strengthen conceptual understanding and problem-solving skills. By integrating programming with pharmaceutical sciences, the book prepares students to analyze healthcare data, interpret scientific results, and develop computational skills required for modern pharmacy education, research, clinical practice, pharmacovigilance, regulatory sciences, and pharmaceutical informatics. It serves as a valuable learning resource for students, teachers, researchers, and healthcare professionals seeking to build a strong foundation in Python programming for pharmaceutical applications.
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