The Object-Oriented Approach to Problem Solving and Machine Learning with Python

1. Auflage 2025
ISBN: 978-1-032-66833-8
Verlag: CRC Press

Buch, Englisch, 314 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 767 g

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.

Start by solidifying your OOP foundation with clear explanations of core concepts such as use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.

This book doesn’t stop at the basics. Explore how OOP empowers fields such as data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.

Each chapter is designed for hands-on learning. You’ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.

Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.

Zielgruppe

Academic and Undergraduate Advanced

Autoren/Hrsg.

Mathew, Sujith Samuel

Kuhail, Mohammad Amin

Hadid, Maha

Farooq, Shahbano

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Chapter 1 Introduction to Object-Oriented Programming

Chapter 2 Python Data Structures

Chapter 3 Exception Handling

Chapter 4 Fundamentals of Object-Oriented Analysis

Chapter 5 Fundamentals of Object-Oriented Design

Chapter 6 File Handling, Object Serialization, and Data Persistence

Chapter 7 Graphical User Interface with Tkinter

Chapter 8 Machine Learning with Python

Chapter 9 Natural Language Processing and Text Mining with Python

Appendix A Installing Python and Environment Setup

Appendix B Choosing an IDE

Appendix C Debugging Your Python Program

Appendix D PEP Style Guide-Coding Standard and Conventions

Über Autor(innen)

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.