Python - object oriented
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This presentation educates you about objectives of python with example syntax, OOP Terminology, Creating Classes, Creating Instance Objects, Accessing Attributes and Built-In Class Attributes.
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Python - object oriented
- 1. Swipe Python - Object Oriented
- 2. 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. Python - Object Oriented
- 3. Class A user-defined prototype for an object that defines a set of attributes that characterize any object of the class. The attributes are data members (class variables and instance variables) and methods, accessed via dot notation. Class variable A variable that is shared by all instances of a class. Class variables are defined within a class but outside any of the class's methods. Class variables are not used as frequently as instance variables are. OOP Terminology
- 4. Data member A class variable or instance variable that holds data associated with a class and its objects. Function overloading The assignment of more than one behavior to a particular function. The operation performed varies by the types of objects or arguments involved. Instance variable A variable that is defined inside a method and belongs only to the current instance of a class. Inheritance The transfer of the characteristics of a class to other classes that are derived from it.
- 5. Instance An individual object of a certain class. An object obj that belongs to a class Circle, for example, is an instance of the class Circle. Instantiation The creation of an instance of a class. Method A special kind of function that is defined in a class definition. Object A unique instance of a data structure that's defined by its class. An object comprises both data members (class variables and instance variables) and methods. Operator overloading The assignment of more than one function to a particular operator.
- 6. Creating Classes The class statement creates a new class definition. The name of the class immediately follows the keyword class followed by a colon as follows class ClassName: 'Optional class documentation string' class_suite The class has a documentation string, which can be accessed via ClassName.__doc__. The class_suite consists of all the component statements defining class members, data attributes and functions. The variable empCount is a class variable whose value is shared among all instances of a this class. This can be accessed as Employee.empCount from inside the class or outside the class.
- 7. Creating Instance Objects To create instances of a class, you call the class using class name and pass in whatever arguments its __init__ method accepts. "This would create first object of Employee class" emp1 = Employee("Zara", 2000) "This would create second object of Employee class" emp2 = Employee("Manni", 5000)
- 8. Accessing Attributes You access the object's attributes using the dot operator with object. Class variable would be accessed using class name as follows emp1.displayEmployee() emp2.displayEmployee() print "Total Employee %d" % Employee.empCount
- 9. Built-In Class Attributes Every Python class keeps following built-in attributes and they can be accessed using dot operator like any other attribute __dict__ − Dictionary containing the class's namespace. __doc__ − Class documentation string or none, if undefined. __name__ − Class name. __module__ − Module name in which the class is defined. This attribute is "__main__" in interactive mode. __bases__ − A possibly empty tuple containing the base classes, in the order of their occurrence in the base class list.
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