Sujith Samuel Mathew, Mohammad Amin Kuhail, Maha Hadid, Shahbano Farooq

eBook, PDF

The Object-Oriented Approach to Problem Solving and Machine Learning with Python (eBook, PDF)

Beschreibung

This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 35.04MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien

Autor

Sujith Samuel Mathew holds a PhD in computer science from the University of Adelaide, Australia. He is an associate professor at Zayed University, UAE. He specializes in ubiquitous and distributed computing, focusing on the Internet of Things and related Smart City applications.

Mohammad Amin Kuhail holds an MSc in software engineering from the University of York and a PhD in software development from IT University of Copenhagen. He is an associate professor at Zayed University, specializing in human-computer interaction and software engineering, and he researches chatbot technology, user behavior, and education.

Maha Hadid holds an MSc in Information Sciences and Systems from the University of Marseille in France. She is an instructor at Zayed University, UAE, with experience in undergraduate courses and instructional design and delivery for blended and classroom-based courses.

Shahbano Farooq holds an MSc in computer science from the University of Calgary. She is an instructor at Zayed University, UAE, specializing in human-computer interaction and machine learning.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 314
• Erscheinungstermin: 12. Mai 2025
• Englisch
• ISBN-13: 9781040296066
• Artikelnr.: 73682015