Python Programming: Basics to Machine Learning - Couverture souple

Kumari, Lalita; Shyam, Radhey

Couverture souple

ISBN 10 : 9354437672 ISBN 13 : 9789354437670

Editeur : PHI Learning, 2025

Synopsis

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.

A propos du livre

À propos des auteurs

Lalita Kumari is Assistant Professor at the Amity School of Engineering and Technology (ASET), Amity University, Patna. Also, she has served NIT Agartala for 10 years as a faculty of Computer Science and Engineering. She holds an M.Tech. in Computer Science and Engineering from CDAC Noida and a Ph.D. in Engineering from NIT Agartala. A highly accomplished academic with a long experience of teaching UG and PG students, she is both GATE and UGC-NET qualified. An active researcher and innovator, Dr. Lalita holds multiple patents and has published numerous research papers in reputed journals and conferences, including those indexed in Scopus and IEEE. Her areas of interest include Artificial Intelligence, Machine Learning, Natural Language Processing, Image Processing, Advanced Algorithms, and Theory of Computation.

Radhey Shyam is Scientist-D at the National Informatics Centre (NIC), Ministry of Electronics & Information Technology, Government of India. He obtained M.Tech. degree from CDAC Noida. A distinguished professional, and a Member of the Institution of Engineers (India), he is GATE and UGC-NET qualified. He began his career as a Project Assistant at CEERI Pilani, a premier CSIR laboratory. In his present role as a Scientist at NIC, he develops innovative software and solutions tailored to the needs of various government departments. With expertise spanning image processing, mobile app development, web-based software design and development, cyber security, and application security audits, Radhey Shyam has made significant contributions to these fields. He holds the copyright for eHospital Software, a cloud-based Hospital Management Information System designed to streamline the internal workflows and processes of hospitals. He has published research papers in areas like image processing and network security in reputed IEEE and other international journals and conferences. Throughout his career, he has been deeply engaged in software development using diverse programming languages and technologies, including C, Java, .NET, PHP, Python, Android Studio, and Flutter.

Extrait. © Reproduit sur autorisation. Tous droits réservés.

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

Détails de l'édition

• Éditeur: PHI Learning
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9354437672
• ISBN 13: 9789354437670
• Reliure: Broché
• Nombre de pages: 261
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible