Python programming has emerged as one of the most influential and widely utilised technologies in the modern era of science, engineering, healthcare, data analysis, and information technology. Its simplicity, versatility, and extensive applications have made Python an essential component of technical education and professional practice. In today’s rapidly evolving digital landscape, a strong foundation in programming is indispensable for students pursuing higher education in pharmaceutical sciences and allied disciplines. This book, Python Programming, has been designed to serve as a comprehensive academic resource for the Bachelor of Pharmacy students (B. Pharm.) First Semester, as per NEP 2020.
The primary objective of this book is to provide students with a clear and systematic understanding of the fundamental concepts of Python programming while emphasising their practical relevance in scientific and pharmaceutical applications. The contents have been carefully structured to bridge the gap between theoretical knowledge and practical implementation, thereby enabling students to develop logical thinking, analytical abilities, and problem-solving skills essential for modern professional environments.
This book has been prepared strictly according to the syllabus requirements and covers all the major topics prescribed for the course in a concise student-friendly manner. The text includes detailed explanations, illustrative examples, and practical exercises to facilitate effective learning and conceptual clarity.
Special care has been taken to present the subject matter in a simple, precise, and academically organised format to meet the requirements of students, teachers, and academic institutions. The authors have endeavoured to maintain accuracy, clarity, and relevance throughout the text so that learners may confidently understand and apply the of Python programming concepts in their academic and professional pursuits.
Contents –
Unit 01 Introduction to Python Programming
Unit 02 Control Structures and Functions
Unit 03 Data Structures and File Handling
Unit 04 Data Handling with Pandas
Unit 05 Data Visulation with Matplotlib
