This document provides an introduction to object-oriented programming in Python. It discusses how everything in Python is an object with a type, and how to create new object types using classes. Key points covered include defining classes with attributes like __init__() and methods, creating instances of classes, and defining special methods like __str__() to customize object behavior and representations. The document uses examples like Coordinate and Fraction classes to illustrate how to implement and use custom object types in Python.
The document discusses key concepts of object-oriented programming such as classes, objects, encapsulation, inheritance, and polymorphism. It provides examples of defining a Point class in Python with methods like translate() and distance() as well as using concepts like constructors, private and protected members, and naming conventions using underscores. The document serves as an introduction to object-oriented programming principles and their implementation in Python.
Python supports object-oriented programming through classes, objects, and related concepts like inheritance, polymorphism, and encapsulation. A class acts as a blueprint to create object instances. Objects contain data fields and methods. Inheritance allows classes to inherit attributes and behaviors from parent classes. Polymorphism enables the same interface to work with objects of different types. Encapsulation helps protect data by restricting access.
Class, object and inheritance in pythonSantosh Verma
The document discusses object-oriented programming concepts in Python, including classes, objects, methods, inheritance, and the built-in __init__ method. Classes are created using the class keyword and contain attributes and methods. Methods must have a self parameter, which refers to the instance of the class. The __init__ method is similar to a constructor and is called when an object is instantiated. Inheritance allows one class to inherit attributes and methods from another class.
The document discusses object-oriented programming concepts in Python including classes, objects, methods, and class definitions. Some key points:
- Python supports object-oriented programming with classes that define new data types and objects that are instances of those classes.
- A class defines attributes and methods that are common to all objects of that class. Methods are functions defined inside classes that operate on object instances.
- Objects are instantiated from classes and can have instance-specific attribute values. Dot notation accesses attributes and methods of an object.
- Initialization methods like __init__() set up new object instances. Special methods starting with double underscores have predefined meanings.
- Methods allow passing the object instance as the first
This document provides an overview of object-oriented programming concepts in Python including objects, classes, inheritance, polymorphism, and encapsulation. It defines key terms like objects, classes, and methods. It explains how to create classes and objects in Python. It also discusses special methods, modules, and the __name__ variable.
This document discusses object-oriented programming concepts in Python including classes, objects, attributes, methods, inheritance, and method overriding. It defines a MyVector class with x and y attributes and methods to add vectors and display their count. Access specifiers like private and built-in are covered. Python uses garbage collection and has no destructors. Inheritance allows a SubVector class to extend MyVector, and a method can be overridden to change a class's behavior.
This document discusses object-oriented programming concepts in Python including:
- Classes define templates for objects with attributes and methods. Objects are instances of classes.
- The __init__ method initializes attributes when an object is constructed.
- Classes can make attributes private using double underscores. Encapsulation hides implementation details.
- Objects can be mutable, allowing state changes, or immutable like strings which cannot change.
- Inheritance allows subclasses to extend and modify parent class behavior through polymorphism.
The document discusses classes and objects in Python programming. It covers key concepts like defining classes, creating objects, assigning attributes to objects, passing objects as arguments and returning objects from functions. It provides examples to illustrate these concepts like defining a Point class to represent coordinate points, creating Rectangle class with a Point object as one of its attributes. The document also discusses concepts like aliasing of objects and how to create a copy of an object instead of alias.
This document provides an overview of object-oriented programming concepts including classes, objects, encapsulation and abstraction. It begins by describing the objectives of learning OOP which are to describe objects and classes, define classes, construct objects using constructors, access object members using dot notation, and apply abstraction and encapsulation. It then compares procedural and object-oriented programming, noting that OOP involves programming using objects defined by classes. Key concepts covered include an object's state consisting of data fields and behavior defined by methods. The document demonstrates defining classes, creating objects, accessing object members, and using private data fields for encapsulation.
This document provides an introduction to object oriented programming in Python. It discusses key OOP concepts like classes, methods, encapsulation, abstraction, inheritance, polymorphism, and more. Each concept is explained in 1-2 paragraphs with examples provided in Python code snippets. The document is presented as a slideshow that is meant to be shared and provide instruction on OOP in Python.
- The document introduces the CSC148 course, which covers object-oriented programming principles, recursive functions and data structures, algorithm efficiency, and sorting algorithms.
- Students will be evaluated based on labs, assignments, term tests, and a final exam. The final exam must be passed for a student to pass the course.
- Lectures will introduce new material and have worksheets, labs are done in pairs, assignments are individual or with 1-2 partners and cannot be submitted late.
- The document provides examples of Python objects like strings and turtles, and discusses classes, methods, attributes, inheritance and more OO concepts.
Python allows importing and using classes and functions defined in other files through modules. There are three main ways to import modules: import somefile imports everything and requires prefixing names with the module name, from somefile import * imports everything without prefixes, and from somefile import className imports a specific class. Modules look for files in directories listed in sys.path.
Classes define custom data types by storing shared data and methods. Instances are created using class() and initialized with __init__. Self refers to the instance inside methods. Attributes store an instance's data while class attributes are shared. Inheritance allows subclasses to extend and redefine parent class features. Special built-in methods control class behaviors like string representation or iteration.
The document discusses various advanced Python concepts including classes, exception handling, generators, CGI, databases, Tkinter for GUI, regular expressions, and email sending using SMTP. It covers object-oriented programming principles like inheritance, encapsulation, and polymorphism in Python. Specific Python concepts like creating and accessing class attributes, instantiating objects, method overloading, operator overloading, and inheritance are explained through examples. The document also discusses generator functions and expressions for creating iterators in Python in a memory efficient way.
This document discusses Python modules, classes, inheritance, and properties. Some key points:
- Modules allow the organization of Python code into reusable libraries by saving code in files with a .py extension. Modules can contain functions, variables, and be imported into other code.
- Classes are templates that define the properties and methods common to all objects of a certain kind. The __init__() method initializes new objects. Inheritance allows child classes to inherit properties and methods from parent classes.
- Properties provide a way to control access to class attributes, allowing them to be accessed like attributes while hiding the implementation details behind getter and setter methods.
Python: Migrating from Procedural to Object-Oriented ProgrammingDamian T. Gordon
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Object oriented programming with pythonArslan Arshad
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The document discusses object-oriented programming concepts in Python including classes, objects, methods, and class definitions. Some key points:
- Python supports object-oriented programming with classes that define new data types and objects that are instances of those classes.
- A class defines attributes and methods that are common to all objects of that class. Methods are functions defined inside classes that operate on object instances.
- Objects are instantiated from classes and can have instance-specific attribute values. Dot notation accesses attributes and methods of an object.
- Initialization methods like __init__() set up new object instances. Special methods starting with double underscores have predefined meanings.
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This document provides an overview of object-oriented programming concepts in Python including objects, classes, inheritance, polymorphism, and encapsulation. It defines key terms like objects, classes, and methods. It explains how to create classes and objects in Python. It also discusses special methods, modules, and the __name__ variable.
This document discusses object-oriented programming concepts in Python including classes, objects, attributes, methods, inheritance, and method overriding. It defines a MyVector class with x and y attributes and methods to add vectors and display their count. Access specifiers like private and built-in are covered. Python uses garbage collection and has no destructors. Inheritance allows a SubVector class to extend MyVector, and a method can be overridden to change a class's behavior.
This document discusses object-oriented programming concepts in Python including:
- Classes define templates for objects with attributes and methods. Objects are instances of classes.
- The __init__ method initializes attributes when an object is constructed.
- Classes can make attributes private using double underscores. Encapsulation hides implementation details.
- Objects can be mutable, allowing state changes, or immutable like strings which cannot change.
- Inheritance allows subclasses to extend and modify parent class behavior through polymorphism.
The document discusses classes and objects in Python programming. It covers key concepts like defining classes, creating objects, assigning attributes to objects, passing objects as arguments and returning objects from functions. It provides examples to illustrate these concepts like defining a Point class to represent coordinate points, creating Rectangle class with a Point object as one of its attributes. The document also discusses concepts like aliasing of objects and how to create a copy of an object instead of alias.
This document provides an overview of object-oriented programming concepts including classes, objects, encapsulation and abstraction. It begins by describing the objectives of learning OOP which are to describe objects and classes, define classes, construct objects using constructors, access object members using dot notation, and apply abstraction and encapsulation. It then compares procedural and object-oriented programming, noting that OOP involves programming using objects defined by classes. Key concepts covered include an object's state consisting of data fields and behavior defined by methods. The document demonstrates defining classes, creating objects, accessing object members, and using private data fields for encapsulation.
This document provides an introduction to object oriented programming in Python. It discusses key OOP concepts like classes, methods, encapsulation, abstraction, inheritance, polymorphism, and more. Each concept is explained in 1-2 paragraphs with examples provided in Python code snippets. The document is presented as a slideshow that is meant to be shared and provide instruction on OOP in Python.
- The document introduces the CSC148 course, which covers object-oriented programming principles, recursive functions and data structures, algorithm efficiency, and sorting algorithms.
- Students will be evaluated based on labs, assignments, term tests, and a final exam. The final exam must be passed for a student to pass the course.
- Lectures will introduce new material and have worksheets, labs are done in pairs, assignments are individual or with 1-2 partners and cannot be submitted late.
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Python allows importing and using classes and functions defined in other files through modules. There are three main ways to import modules: import somefile imports everything and requires prefixing names with the module name, from somefile import * imports everything without prefixes, and from somefile import className imports a specific class. Modules look for files in directories listed in sys.path.
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1. Unit 8
Classes and Objects; Inheritance
Special thanks to Roy McElmurry, John Kurkowski, Scott Shawcroft, Ryan Tucker, Paul Beck for their work.
Except where otherwise noted, this work is licensed under:
http://creativecommons.org/licenses/by-nc-sa/3.0
2. 2
OOP, Defining a Class
• Python was built as a procedural language
– OOP exists and works fine, but feels a bit more "tacked on"
– Java probably does classes better than Python (gasp)
• Declaring a class:
class name:
statements
3. 3
Fields
name = value
– Example:
class Point:
x = 0
y = 0
# main
p1 = Point()
p1.x = 2
p1.y = -5
– can be declared directly inside class (as shown here)
or in constructors (more common)
– Python does not really have encapsulation or private fields
• relies on caller to "be nice" and not mess with objects' contents
point.py
1
2
3
class Point:
x = 0
y = 0
4. 4
Using a Class
import class
– client programs must import the classes they use
point_main.py
1
2
3
4
5
6
7
8
9
10
from Point import *
# main
p1 = Point()
p1.x = 7
p1.y = -3
...
# Python objects are dynamic (can add fields any time!)
p1.name = "Tyler Durden"
5. 5
Object Methods
def name(self, parameter, ..., parameter):
statements
– self must be the first parameter to any object method
• represents the "implicit parameter" (this in Java)
– must access the object's fields through the self reference
class Point:
def translate(self, dx, dy):
self.x += dx
self.y += dy
...
6. 6
"Implicit" Parameter (self)
• Java: this, implicit
public void translate(int dx, int dy) {
x += dx; // this.x += dx;
y += dy; // this.y += dy;
}
• Python: self, explicit
def translate(self, dx, dy):
self.x += dx
self.y += dy
– Exercise: Write distance, set_location, and
distance_from_origin methods.
7. 7
Exercise Answer
point.py
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from math import *
class Point:
x = 0
y = 0
def set_location(self, x, y):
self.x = x
self.y = y
def distance_from_origin(self):
return sqrt(self.x * self.x + self.y * self.y)
def distance(self, other):
dx = self.x - other.x
dy = self.y - other.y
return sqrt(dx * dx + dy * dy)
8. 8
Calling Methods
• A client can call the methods of an object in two ways:
– (the value of self can be an implicit or explicit parameter)
1) object.method(parameters)
or
2) Class.method(object, parameters)
• Example:
p = Point(3, -4)
p.translate(1, 5)
Point.translate(p, 1, 5)
9. 9
Constructors
def __init__(self, parameter, ..., parameter):
statements
– a constructor is a special method with the name __init__
– Example:
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
...
• How would we make it possible to construct a
Point() with no parameters to get (0, 0)?
10. 10
toString and __str__
def __str__(self):
return string
– equivalent to Java's toString (converts object to a string)
– invoked automatically when str or print is called
Exercise: Write a __str__ method for Point objects that
returns strings like "(3, -14)"
def __str__(self):
return "(" + str(self.x) + ", " + str(self.y) + ")"
11. 11
Complete Point Class
point.py
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21
from math import *
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
def distance_from_origin(self):
return sqrt(self.x * self.x + self.y * self.y)
def distance(self, other):
dx = self.x - other.x
dy = self.y - other.y
return sqrt(dx * dx + dy * dy)
def translate(self, dx, dy):
self.x += dx
self.y += dy
def __str__(self):
return "(" + str(self.x) + ", " + str(self.y) + ")"
12. 12
Operator Overloading
• operator overloading: You can define functions so that
Python's built-in operators can be used with your class.
• See also: http://docs.python.org/ref/customization.html
Operator Class Method
- __neg__(self, other)
+ __pos__(self, other)
* __mul__(self, other)
/ __truediv__(self, other)
Unary Operators
- __neg__(self)
+ __pos__(self)
Operator Class Method
== __eq__(self, other)
!= __ne__(self, other)
< __lt__(self, other)
> __gt__(self, other)
<= __le__(self, other)
>= __ge__(self, other)
13. 13
Exercise
• Exercise: Write a Fraction class to represent rational
numbers like 1/2 and -3/8.
• Fractions should always be stored in reduced form; for
example, store 4/12 as 1/3 and 6/-9 as -2/3.
– Hint: A GCD (greatest common divisor) function may help.
• Define add and multiply methods that accept another
Fraction as a parameter and modify the existing
Fraction by adding/multiplying it by that parameter.
• Define +, *, ==, and < operators.
14. 14
Generating Exceptions
raise ExceptionType("message")
– useful when the client uses your object improperly
– types: ArithmeticError, AssertionError, IndexError,
NameError, SyntaxError, TypeError, ValueError
– Example:
class BankAccount:
...
def deposit(self, amount):
if amount < 0:
raise ValueError("negative amount")
...
15. 15
Inheritance
class name(superclass):
statements
– Example:
class Point3D(Point): # Point3D extends Point
z = 0
...
• Python also supports multiple inheritance
class name(superclass, ..., superclass):
statements
(if > 1 superclass has the same field/method, conflicts are resolved in left-to-right order)
16. 16
Calling Superclass Methods
• methods: class.method(object, parameters)
• constructors: class.__init__(parameters)
class Point3D(Point):
z = 0
def __init__(self, x, y, z):
Point.__init__(self, x, y)
self.z = z
def translate(self, dx, dy, dz):
Point.translate(self, dx, dy)
self.z += dz