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

    The Object-Oriented Approach to Problem Solving and Machine Learning with Python by Mathew, Sujith Samuel; Kuhail, Mohammad Amin; Hadid, Maha;

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      • Publisher's listprice GBP 89.99
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    45 543 Ft

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    Product details:

    • Edition number 1
    • Publisher Chapman and Hall
    • Date of Publication 12 May 2025

    • ISBN 9781032668338
    • Binding Hardback
    • No. of pages314 pages
    • Size 254x178 mm
    • Weight 453 g
    • Language English
    • Illustrations 37 Illustrations, black & white; 66 Illustrations, color; 5 Halftones, color; 37 Line drawings, black & white; 61 Line drawings, color; 19 Tables, black & white
    • 700

    Categories

    Short description:

    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.

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    Long description:

    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.

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    Table of Contents:


    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

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