The Object Oriented Approach To Problem Solving And Machine Learning With Python
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The Object-Oriented Approach to Problem Solving and Machine Learning with Python
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.
Mastering Object Oriented programming
Embark on a Profound Journey to "Mastering Object-Oriented Programming" In a dynamic world of software development, mastering the art of object-oriented programming (OOP) is pivotal for creating robust, scalable, and maintainable code that powers modern applications. "Mastering Object-Oriented Programming" is your comprehensive guide to navigating the intricate world of OOP principles, design patterns, and best practices. Whether you're a seasoned developer or an aspiring programmer, this book equips you with the knowledge and skills needed to excel in crafting efficient and elegant software solutions. About the Book: "Mastering Object-Oriented Programming" takes you on a transformative journey through the intricacies of OOP, from foundational concepts to advanced techniques. From classes and inheritance to polymorphism and design patterns, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of OOP principles and practical applications in real-world scenarios. Key Features: · Foundational Understanding: Build a solid foundation by comprehending the core principles of object-oriented programming, including classes, objects, and encapsulation. · Inheritance and Polymorphism: Explore the power of inheritance and polymorphism, understanding how to create hierarchical class structures and achieve code reuse. · Abstraction and Encapsulation: Master the art of abstraction, encapsulation, and information hiding for designing clean and maintainable code. · Design Patterns: Dive into essential design patterns, such as Singleton, Factory, Observer, and more, understanding how to apply them to solve common programming challenges. · Object-Oriented Analysis and Design: Learn techniques for analyzing and designing software systems using UML diagrams, use cases, and design principles. · SOLID Principles: Gain insights into the SOLID principles of OOP—Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion—and how they contribute to modular and extensible code. · Testing and Debugging: Explore strategies for unit testing, debugging, and code optimization in the context of object-oriented programming. · Challenges and Trends: Discover challenges in software development, from code maintainability to architectural considerations, and explore emerging trends shaping the future of OOP. Who This Book Is For: "Mastering Object-Oriented Programming" is designed for developers, programmers, software engineers, students, and anyone passionate about writing efficient and maintainable code. Whether you're aiming to enhance your skills or embark on a journey toward becoming an OOP expert, this book provides the insights and tools to navigate the complexities of object-oriented programming. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
An Introduction to Python Programming: A Practical Approach
Author: Dr. Krishna Kumar Mohbey
language: en
Publisher: BPB Publications
Release Date: 2021-08-26
step-by-step approach to Python programming with machine learning fundamental and theoretical principles. KEY FEATURES ● Introduces readers to Python programming in a very simple way. ● Extensive practical demonstration of Python concepts using numerous examples. ● Implementation of machine learning in Python using hands-on techniques. DESCRIPTION The book ‘Introduction to Python Programming: A Practical Approach’ lays out a path for readers who want to pursue a career in the field of computer software development. It covers the fundamentals of Python programming as well as machine learning principles. Students will benefit from the examples that are included with each concept, which will aid them in understanding the concept. This book provides a practical understanding of Python programming using numerous programs and examples. It also develops problem-solving and code-writing abilities for the readers. This book covers Python fundamentals, operators, and data structures such as strings, lists, dictionaries, and tuples. It also contains information on file and exception handling. The implementation of a machine learning model has also been included in this book. With the help of this book, students and programmers can improve their programming skills as well as their ability to sprint towards a rewarding career. WHAT YOU WILL LEARN ● Learn Python concepts, operators, and data structures. ● Learn the properties and operations of lists, tuples, and dictionaries. ● Write Python code to solve specific issues. ● Write Python code to handle disk files and exceptions. ● Work with OOPS properties like classes, objects, constructors, inheritance, and polymorphism. ● Use machine learning for classification, regression, prediction, and clustering. WHO THIS BOOK IS FOR This book is intended for current and aspiring emerging technology professionals, students, and anyone else who wishes to better understand the Python programming language and machine learning concepts. TABLE OF CONTENTS 1. Chapter 1: Basics of Python Programming 2. Chapter 2: Operators and Expressions 3. Chapter 3: Control Flow Statements 4. Chapter 4: Functions 5. Chapter 5: Strings 6. Chapter 6: Lists 7. Chapter 7: Tuple 8. Chapter 8: Dictionaries 9. Chapter 9: File Handling 10. Chapter 10: Exception Handling, Modules, and Packages 11. Chapter 11: Object-oriented Programming 12. Chapter 12: Machine Learning with Python 13. Chapter 13: Clustering with Python