Object Oriented Programming With Python
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Object-oriented Programming with Python - A Practical Guide
Learn Object-oriented Programming in Python-beginner-level! (Exercises + cheat sheets + better Coding)! About This Video Master Object-Oriented Programming (and its principles) in Python Learn every important topics-classes, objects, inheritance, abstraction, and more with proper examples Access Python cheat sheets to master core Python concepts Understand how Object-Oriented Programming Is more efficient than Procedure-Oriented Programming In Detail Welcome to Object-Oriented Programming With Python-A Practical Guide, a one-stop course that will kick-start your object-oriented journey step-by-step, This course covers every important concept of OOPS with its latest version Python 3.7. OOP is one of the most important programming concepts because it: Makes visualization easier (as closest as possible to real-world scenarios) Reuses code, saves time, reduces code lines, and shrinks your project. Makes code readable by adding a structure to data with related methods. Uses modularity for easier troubleshooting Reuses code through inheritance Imparts flexibility through polymorphism This course will help you explore classes, objects, abstraction, encapsulation, inheritance, and polymorphism. We also focus on the DRY (Don't Repeat Yourself) approach to improving our code-writing and problem-solving skills. Throughout the course, you will get tons of quiz, sample code, and theory material to help you revise the course effectively. After completing this course, you will have attained the industry standard and will be ready to work as an intern, fresher, or freelancer; you will also be able to implement everything you need on your website.
Object-oriented Programming in Python
This book presents a balanced and flexible approach to the incorporation of object-oriented principles in introductory courses using Python. Familiarizes readers with the terminology of object-oriented programming, the concept of an object's underlying state information, and its menu of available behaviors. Includes an exclusive, easy-to-use custom graphics library that helps readers grasp both basic and more advanced concepts. Lays the groundwork for transition to other languages such as Java and C++. For those interested in learning more about object-oriented programming using Python.
Python Object-Oriented Programming
Author: Steven F. Lott
language: en
Publisher: Packt Publishing Ltd
Release Date: 2021-07-02
A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques Key Features Build an intuitive understanding of object-oriented design, from introductory to mature programs Learn the ins and outs of Python syntax, libraries, and best practices Examine a machine-learning case study at the end of each chapter Book Description Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs. What you will learn Implement objects in Python by creating classes and defining methods Extend class functionality using inheritance Use exceptions to handle unusual situations cleanly Understand when to use object-oriented features, and more importantly, when not to use them Discover several widely used design patterns and how they are implemented in Python Uncover the simplicity of unit and integration testing and understand why they are so important Learn to statically type check your dynamic code Understand concurrency with asyncio and how it speeds up programs Who this book is for If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.