Introduction to object oriented programming python
Python 3 Object Oriented Programming by Dusty PhillipsThe book begins with the very foundations of OOP and then uses practical examples to show how to correctly implement Object Oriented Programming in Python. Many examples are taken from real-world projects. The book focuses on high-level design as well as the gritty details of the Python syntax. The provided exercises inspire the reader to think about his or her own code, rather than providing solved problems. If youre new to Object Oriented Programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply Object Oriented Programming in Python, this is the book for you. If you are an object-oriented programmer for other languages, you too will find this book a useful introduction to Python, as it uses terminology you are already familiar with. Python 2 programmers seeking a leg up in the new world of Python 3 will also find the book beneficial, and you need not necessarily know Python 2.
Python Object Oriented Programming
In all the programs we wrote till now, we have designed our program around functions i. This is called the procedure-oriented way of programming. There is another way of organizing your program which is to combine data and functionality and wrap it inside something called an object. This is called the object oriented programming paradigm. Most of the time you can use procedural programming, but when writing large programs or have a problem that is better suited to this method, you can use object oriented programming techniques.
Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. The concept of OOP in Python focuses on creating reusable code. We can think of class as an sketch of a parrot with labels. It contains all the details about the name, colors, size etc.
Object-Oriented programming is a widely used concept to write powerful applications. As a data scientist, you will be required to write applications to process your data, among a range of other things. In this tutorial, you will discover the basics of object-oriented programming in Python. You will learn the following:. Object-oriented programming has some advantages over other design patterns. Development is faster and cheaper, with better software maintainability.
Python has been an object-oriented language since it existed. Because of this, creating and using classes and objects are downright easy. This chapter helps you become an expert in using Python's object-oriented programming support. If you do not have any previous experience with object-oriented OO programming, you may want to consult an introductory course on it or at least a tutorial of some sort so that you have a grasp of the basic concepts. The attributes are data members class variables and instance variables and methods, accessed via dot notation. Class variables are defined within a class but outside any of the class's methods.