Kumari, Lalita creator Radhey Shyam creator text Delhi PHI Learning Pvt. Ltd. 2025 monographic eng

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p. XIV,249 This comprehensive text on Python programming is designed for undergraduate and postgraduate students in Computer Science and Information Technology. Whether you are a beginner or have limited programming knowledge, this book offers a structured learning experience, starting with foundational concepts and progressing to complex topics like machine learning. Divided into three parts, the book ensures a smooth progression from the basics and core concepts of Python to machine learning with Python. It covers fundamental topics such as data types, variables, operators, and interactive input/output, enabling readers to write simple yet effective Python programs. Subsequently, the text explores advanced concepts such as control flow, functions, file handling, object-oriented programming, modules, and data visualization through graph plotting, empowering readers to develop robust and complex Python applications. Finally, the book introduces readers to the world of machine learning, covering essential topics like data preprocessing, supervised and unsupervised learning, and algorithm implementation. The book equips students to excel in Python programming and seamlessly transition into machine learning, enabling them to design and implement customized algorithms for their datasets. Preface BASICS OF PYTHON 1. Introduction 2. Literals and Data Types 3. Variables and Operators 4. Interactive Input-Output CORE PYTHON CONCEPTS 5. Control Flow 6. Functions 7. File Handling 8. Object-Oriented Programming (OOP) 9. Modules and Packages 10. Graph Plotting MACHINE LEARNING THROUGH PYTHON 11. Introduction to Machine Learning 12. Data Preprocessing 13. Supervised Learning 14. Unsupervised Learning Index by Lalita Kumari and Radhey Shyam Computer Science Artificial Intelligence AI Software Development Computer Programming 005.133 KUM-P 978-93-5443-767-0 260629 20260629084026.0