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 from foundational concepts and advancing to complex topics like machine learning. Divided into three parts, the book ensures a smooth progression from 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 like 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 its readers to the world of machine learning, covering essential topics like data preprocessing, supervised and unsupervised learning, and implementing algorithms. 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.
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Lalita Kumari is Assistant Professor at the Amity School of Engineering and Technology (ASET), Amity University, Patna.
Radhey Shyam is Scientist-D at the National Informatics Centre (NIC), Ministry of Electronics & Information Technology, Government of India.
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
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