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Subrat SaurabhAuthor of Kuch Woh PalThis book explains the fundamentals of Python for Chemistry. It focuses on introducing the fundamental concepts of the Python programming language and how Python can be used to address the Chemistry-related problems. Python is a versatile and sophisticated programming language that has acquired enormous popularity in recent years. It is utilised in a variety of domains, including Chemistry, where it has proven to be an effective tool for scientific research and analysis. This book is intended to teach readers the principles of Python programming and show how it can be used to Chemistry.
Python provides an extensive set of tools for solving a wide range of chemistry challenges, including data analysis, visualisation, computational modelling, and simulation. This book assumes no prior programming expertise and offers a moderate introduction to Python, focusing on Chemistry-related topics. It introduces the fundamentals of Python syntax, data types, control structures, functions, and modules while also demonstrating how these principles may be used to chemical problems.
Subashini P, Lalitha P, Janani R, Jennyfer Susan M B, Mohana M
*Prof. P. Subashini, Coordinator, Centre for Machine Learning and Intelligence, Avinashilingam Institute for Home Science and Higher Education for Women. Research expertise - Artificial Intelligence, Machine Learning, Image Processing.
*Prof. P. Lalitha, Dean i/c, Research and Consultancy & Professor of the Department of Chemistry. Research area - Organic synthesis, Nano synthesis, Phytochemical isolation of compounds, Drug conjugation and release studies.
*Dr. R.Janani, Research Assistant, Centre for Machine Learning and Intelligence. Research area - Text Mining, Computational Intelligence.
*Ms. M.B. Jennyfer Susan, Research Scholar, Centre for Machine Learning and Intelligence. Research area - Vision AI, Medical Image Processing.
*Ms. M. Mohana, Research Scholar, Centre for Machine Learning and Intelligence. Research area - Computer Vision, Facial Emotion Recognition, Machine / Deep Learning.
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