Free download скачать Introduction to Object-Oriented Programming in Python: Building Flexible and Reusable Code by Amir Keivan Shafiei
English | May 30, 2024 | ISBN: N/A | ASIN: B0D5QW3W7D | 377 pages | EPUB | 0.66 Mb
Unlock the Power of Object-Oriented Programming with Python
Introduction to Object-Oriented Programming in Python: Building Flexible and Reusable Code, Second Edition by Amir Keivan Shafiei is your comprehensive guide to mastering the principles of Object-Oriented Programming (OOP) with Python, one of today's most versatile and powerful programming languages.
This thoroughly updated second edition offers clear, concise explanations of OOP concepts, enhanced with real-world examples and hands-on exercises. Whether you're a beginner eager to explore Python or an experienced developer looking to deepen your skills, this book provides the knowledge and tools you need to create efficient, reusable, and maintainable code.
What You'll Learn:Core OOP Principles: Understand the foundational concepts of object-oriented programming, including classes, objects, inheritance, polymorphism, and encapsulation.Advanced Techniques: Delve into advanced topics such as design patterns, refactoring, and the latest Python features to enhance your coding practices.Practical Applications: Apply your learning to real-world scenarios with detailed case studies and interactive projects that bridge the gap between theory and practice.Interactive Learning: Engage with quizzes, coding exercises, and projects that reinforce your understanding and ensure you can apply OOP concepts effectively.Why Choose This Book?Clear Explanations: Complex topics are broken down into digestible pieces, making it easy for you to grasp and apply new concepts.Hands-On Approach: With numerous examples and exercises, you'll gain practical experience and confidence in your coding abilities.Real-World Focus: Learn how to solve real-life programming challenges with flexible and reusable code.Authoritative Guidance: Written by Amir Keivan Shafiei, a seasoned educator and software engineer with extensive experience in teaching OOP principles in Python.
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