Creating Objects in Python. For more detail see:
http://www.damiantgordon.com/Videos/ProgrammingAndAlgorithms/MainMenu.html
OOPS concepts are one of the most important concepts in high level languages. Here in this PPT we will learn more about Object oriented approach in python programming which includes details related to classes and objects, inheritance, dat abstraction, polymorphism and many more with examples and code.
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 (OOP) concepts in Python. It defines OOP, classes, objects, attributes, methods, inheritance, and polymorphism. Key points include:
- OOP uses classes as templates for objects with identities, states, and behaviors.
- Classes define attributes and methods. Objects are instances of classes.
- Inheritance allows classes to inherit attributes and methods from parent classes. There are different types of inheritance.
- Polymorphism means the same message can be displayed in different forms. Abstraction and encapsulation hide unnecessary details from users.
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.
This document provides an agenda and overview for a Python tutorial presented over multiple sessions. The first session introduces Python and demonstrates how to use the Python interpreter. The second session covers basic Python data structures like lists, modules, input/output, and exceptions. An optional third session discusses unit testing. The document explains that Python is an easy to learn yet powerful programming language that supports object-oriented programming and high-level data structures in an interpreted, dynamic environment.
This document provides an introduction to object-oriented programming in Python. It discusses key concepts like classes, instances, inheritance, and modules. Classes group state and behavior together, and instances are created from classes. Methods defined inside a class have a self parameter. The __init__ method is called when an instance is created. Inheritance allows classes to extend existing classes. Modules package reusable code and data, and the import statement establishes dependencies between modules. The __name__ variable is used to determine if a file is being run directly or imported.
The document provides an introduction to Python programming. It discusses that Python is a high-level, interpreted, object-oriented, and general purpose programming language. It can be used for web development, scientific computing, desktop applications, and more. The document then covers Python basics like data types, variables, literals, operators, control flow statements, functions, modules and packages. It also discusses installing Python on Windows and writing the first Python program.
Static Data Members and Member FunctionsMOHIT AGARWAL
Static data members and static member functions in C++ classes are shared by all objects of that class. Static data members are initialized to zero when the first object is created and shared across all instances, while static member functions can only access other static members and are called using the class name and scope resolution operator. The example program demonstrates a class with a static data member "count" that is incremented and accessed by multiple objects to assign increasing code values, and a static member function "showcount" that prints the shared count value.
1. Inheritance is a mechanism where a new class is derived from an existing class, known as the base or parent class. The derived class inherits properties and methods from the parent class.
2. There are 5 types of inheritance: single, multilevel, multiple, hierarchical, and hybrid. Multiple inheritance allows a class to inherit from more than one parent class.
3. Overriding allows a subclass to replace or extend a method defined in the parent class, while still calling the parent method using the super() function or parent class name. This allows the subclass to provide a specific implementation of a method.
Python is an interpreted, open source programming language that is simple, powerful, and preinstalled on many systems. It has less syntax than other languages and a plethora of penetration testing tools have already been created in Python. Python code is translated and executed by an interpreter one statement at a time, allowing it to be run from the command prompt, through command prompt files, or in an integrated development environment. The language uses whitespace and comments to make code more readable. It can perform basic operations like printing, taking user input, performing conditionals and loops, defining reusable functions, and importing additional modules.
Every value in Java has a data type. Java supports two kinds of data types: primitive data types and reference data types. Primitive data types represent atomic, indivisible values. Java has eight Numeric data types: byte, short, int,
An operator is a symbol that is used to perform some type of computation on its operands. Java contains a rich set of
operators. Operators are categorized as unary, binary, or ternary based on the number of operands they take. They are categorized as arithmetic, relational, logical, etc. based on the operation they perform on their operands.
long, float, double, char, and boolean. Literals of primitive data types are constants. Reference data types represent
references of objects in memory. Java is a statically typed programming language. That is, it checks the data types of all values at compile time.
Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.
C++ supports templates to implement generic programming. Templates allow generating a family of classes or functions to handle different data types. A class created from a class template is called a template class. The process of creating a template class is known as instantiation. Like other functions, template functions can be overloaded. Non-type parameters can also be used as arguments for templates.
Constructor is a special member function that initializes objects of a class. Constructors have the same name as the class and do not have a return type. There are two types of constructors: default constructors that take no parameters, and parameterized constructors that allow passing arguments when creating objects. Constructors are automatically called when objects are created to initialize member variables, unlike regular member functions which must be explicitly called.
This document outlines an introduction to object oriented programming in Python. It discusses Python's support for multiple programming paradigms including procedural, object-oriented, and functional. Python allows programmers to choose the paradigm best suited to the problem. The document then covers Python classes, stating that a class is a Python object that returns a new instance when called. Classes contain attributes that can be descriptors like functions or normal data. Inheritance allows classes to delegate attribute lookup to parent classes.
Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.
This document provides an overview of object-oriented programming concepts including classes, objects, inheritance, abstraction, encapsulation, and polymorphism. It defines OOP as an engineering approach for building software systems based on modeling real-world entities as classes and objects that exchange messages. Key concepts are explained such as classes defining attributes and behaviors of objects, objects being instances of classes, and communication between objects occurring through messages. The four main principles of OOP - inheritance, abstraction, encapsulation, and polymorphism - are also summarized.
The document discusses object-oriented programming concepts in Java, including classes, objects, inheritance, encapsulation, and polymorphism. It provides examples and definitions of key OOP concepts like class, object, inheritance, abstraction, encapsulation, polymorphism, and the SOLID principles (single responsibility, open/closed, Liskov substitution, interface segregation, and dependency inversion). It also covers Java specifics like access modifiers, variables, and how to create objects in Java.
This document discusses files and streams in C++. It explains that the fstream library allows reading from and writing to files using ifstream, ofstream, and fstream objects. It covers opening, closing, writing to, and reading from files, noting that files must be opened before use and should be closed after. The standard openmode arguments and open(), close(), write, and read syntax are provided. Examples of reading from and writing to files are included.
Inheritance and Polymorphism in Python. Inheritance is a mechanism which allows us to create a new class – known as child class – that is based upon an existing class – the parent class, by adding new attributes and methods on top of the existing class.
Defining class
Defining member functions
Static data members
Static member functions
Private data members
Public member functions
Arrays of objects
Objects as a function arguments
Constructors and destructors
Types of constructors
Handling of multiple constructors, destructors.
This document outlines the syllabus for the course GE8151 - Problem Solving and Python Programming. It covers algorithms and their building blocks like statements, states, control flow, and functions. It provides examples of algorithm problems like finding the minimum in a list, inserting a card in a sorted list, guessing a number in a range, and solving the Towers of Hanoi problem. It also discusses algorithm design techniques, specifying algorithms using pseudocode and flowcharts, different types of programming languages, and strategies for developing algorithms using iteration and recursion.
PYTHON-Chapter 3-Classes and Object-oriented Programming: MAULIK BORSANIYAMaulik Borsaniya
Classes and Object-oriented Programming:
Classes: Creating a Class, The Self Variable, Constructor, Types of Variables, Namespaces, Types of Methods (Instance Methods, Class Methods, Static Methods), Passing Members of One Class to Another Class, Inner Classes
Inheritance and Polymorphism: Constructors in Inheritance, Overriding Super Class Constructors and Methods, The super() Method, Types of Inheritance, Single Inheritance, Multiple Inheritance, Method Resolution Order (MRO), Polymorphism, Duck Typing Philosophy of Python, Operator Overloading, Method Overloading, Method Overriding
Abstract Classes and Interfaces: Abstract Method and Abstract Class, Interfaces in Python, Abstract Classes vs. Interfaces,
This Edureka Python tutorial is a part of Python Course (Python Tutorial Blog: https://goo.gl/wd28Zr) and will help you in understanding what exactly is Python and its various applications. It also explains few Python code basics like data types, operators etc. Below are the topics covered in this tutorial:
1. Introduction to Python
2. Various Python Features
3. Python Applications
4. Python for Web Scraping
5. Python for Testing
6. Python for Web Development
7. Python for Data Analysis
The document discusses access control in Python object-oriented programming. It explains that in most languages, attributes and methods can be public, protected, or private, but in Python there is no built-in access control. By convention, prefixing with a single underscore _ indicates internal use only, while double underscore __ makes Python attempt to make it private. The document provides an example SecretString class to demonstrate how attributes prefixed with __ cannot be directly accessed but can still be retrieved by external objects in more complex ways.
While Python's standard library provides many features, it does not include everything. Developers can write their own packages or use third-party packages from others. The Python Package Index (PyPI) lists available third-party packages that can be installed using the pip tool. Pip allows installation of third-party packages with a simple command to add them to the library.
1. Inheritance is a mechanism where a new class is derived from an existing class, known as the base or parent class. The derived class inherits properties and methods from the parent class.
2. There are 5 types of inheritance: single, multilevel, multiple, hierarchical, and hybrid. Multiple inheritance allows a class to inherit from more than one parent class.
3. Overriding allows a subclass to replace or extend a method defined in the parent class, while still calling the parent method using the super() function or parent class name. This allows the subclass to provide a specific implementation of a method.
Python is an interpreted, open source programming language that is simple, powerful, and preinstalled on many systems. It has less syntax than other languages and a plethora of penetration testing tools have already been created in Python. Python code is translated and executed by an interpreter one statement at a time, allowing it to be run from the command prompt, through command prompt files, or in an integrated development environment. The language uses whitespace and comments to make code more readable. It can perform basic operations like printing, taking user input, performing conditionals and loops, defining reusable functions, and importing additional modules.
Every value in Java has a data type. Java supports two kinds of data types: primitive data types and reference data types. Primitive data types represent atomic, indivisible values. Java has eight Numeric data types: byte, short, int,
An operator is a symbol that is used to perform some type of computation on its operands. Java contains a rich set of
operators. Operators are categorized as unary, binary, or ternary based on the number of operands they take. They are categorized as arithmetic, relational, logical, etc. based on the operation they perform on their operands.
long, float, double, char, and boolean. Literals of primitive data types are constants. Reference data types represent
references of objects in memory. Java is a statically typed programming language. That is, it checks the data types of all values at compile time.
Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.
C++ supports templates to implement generic programming. Templates allow generating a family of classes or functions to handle different data types. A class created from a class template is called a template class. The process of creating a template class is known as instantiation. Like other functions, template functions can be overloaded. Non-type parameters can also be used as arguments for templates.
Constructor is a special member function that initializes objects of a class. Constructors have the same name as the class and do not have a return type. There are two types of constructors: default constructors that take no parameters, and parameterized constructors that allow passing arguments when creating objects. Constructors are automatically called when objects are created to initialize member variables, unlike regular member functions which must be explicitly called.
This document outlines an introduction to object oriented programming in Python. It discusses Python's support for multiple programming paradigms including procedural, object-oriented, and functional. Python allows programmers to choose the paradigm best suited to the problem. The document then covers Python classes, stating that a class is a Python object that returns a new instance when called. Classes contain attributes that can be descriptors like functions or normal data. Inheritance allows classes to delegate attribute lookup to parent classes.
Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.
This document provides an overview of object-oriented programming concepts including classes, objects, inheritance, abstraction, encapsulation, and polymorphism. It defines OOP as an engineering approach for building software systems based on modeling real-world entities as classes and objects that exchange messages. Key concepts are explained such as classes defining attributes and behaviors of objects, objects being instances of classes, and communication between objects occurring through messages. The four main principles of OOP - inheritance, abstraction, encapsulation, and polymorphism - are also summarized.
The document discusses object-oriented programming concepts in Java, including classes, objects, inheritance, encapsulation, and polymorphism. It provides examples and definitions of key OOP concepts like class, object, inheritance, abstraction, encapsulation, polymorphism, and the SOLID principles (single responsibility, open/closed, Liskov substitution, interface segregation, and dependency inversion). It also covers Java specifics like access modifiers, variables, and how to create objects in Java.
This document discusses files and streams in C++. It explains that the fstream library allows reading from and writing to files using ifstream, ofstream, and fstream objects. It covers opening, closing, writing to, and reading from files, noting that files must be opened before use and should be closed after. The standard openmode arguments and open(), close(), write, and read syntax are provided. Examples of reading from and writing to files are included.
Inheritance and Polymorphism in Python. Inheritance is a mechanism which allows us to create a new class – known as child class – that is based upon an existing class – the parent class, by adding new attributes and methods on top of the existing class.
Defining class
Defining member functions
Static data members
Static member functions
Private data members
Public member functions
Arrays of objects
Objects as a function arguments
Constructors and destructors
Types of constructors
Handling of multiple constructors, destructors.
This document outlines the syllabus for the course GE8151 - Problem Solving and Python Programming. It covers algorithms and their building blocks like statements, states, control flow, and functions. It provides examples of algorithm problems like finding the minimum in a list, inserting a card in a sorted list, guessing a number in a range, and solving the Towers of Hanoi problem. It also discusses algorithm design techniques, specifying algorithms using pseudocode and flowcharts, different types of programming languages, and strategies for developing algorithms using iteration and recursion.
PYTHON-Chapter 3-Classes and Object-oriented Programming: MAULIK BORSANIYAMaulik Borsaniya
Classes and Object-oriented Programming:
Classes: Creating a Class, The Self Variable, Constructor, Types of Variables, Namespaces, Types of Methods (Instance Methods, Class Methods, Static Methods), Passing Members of One Class to Another Class, Inner Classes
Inheritance and Polymorphism: Constructors in Inheritance, Overriding Super Class Constructors and Methods, The super() Method, Types of Inheritance, Single Inheritance, Multiple Inheritance, Method Resolution Order (MRO), Polymorphism, Duck Typing Philosophy of Python, Operator Overloading, Method Overloading, Method Overriding
Abstract Classes and Interfaces: Abstract Method and Abstract Class, Interfaces in Python, Abstract Classes vs. Interfaces,
This Edureka Python tutorial is a part of Python Course (Python Tutorial Blog: https://goo.gl/wd28Zr) and will help you in understanding what exactly is Python and its various applications. It also explains few Python code basics like data types, operators etc. Below are the topics covered in this tutorial:
1. Introduction to Python
2. Various Python Features
3. Python Applications
4. Python for Web Scraping
5. Python for Testing
6. Python for Web Development
7. Python for Data Analysis
The document discusses access control in Python object-oriented programming. It explains that in most languages, attributes and methods can be public, protected, or private, but in Python there is no built-in access control. By convention, prefixing with a single underscore _ indicates internal use only, while double underscore __ makes Python attempt to make it private. The document provides an example SecretString class to demonstrate how attributes prefixed with __ cannot be directly accessed but can still be retrieved by external objects in more complex ways.
While Python's standard library provides many features, it does not include everything. Developers can write their own packages or use third-party packages from others. The Python Package Index (PyPI) lists available third-party packages that can be installed using the pip tool. Pip allows installation of third-party packages with a simple command to add them to the library.
The iterator pattern is a design pattern where an iterator object is used to traverse the elements of a container. The iterator pattern includes two main parts - an iterable class that creates the iterator object, and an iterator class that implements the iteration logic and traversal of the container's elements using methods like next() and done(). The pattern provides a standard way to access elements of a container in a programming language-agnostic manner.
Design patterns are formalized best practices for solving common programming problems. They show relationships between classes and objects to address recurring design problems, but are not finished designs that can be directly converted to code. Design patterns provide reusable solutions to software design problems in specific contexts, and examples include strategy, computation, execution, implementation, and structural patterns.
Modules in Python allow organizing classes into files to make them available and easy to find. Modules are simply Python files that can import classes from other modules in the same folder. Packages allow further organizing modules into subfolders, with an __init__.py file making each subfolder a package. Modules can import classes from other modules or packages using either absolute or relative imports, and the __init__.py can simplify imports from its package. Modules can also contain global variables and classes to share resources across a program.
Multiple inheritance allows a subclass to inherit from multiple parent classes, combining their functionality. While simple in concept, it can be tricky to implement clearly. The simplest form is a mixin, where a class is designed to be inherited from to share methods and attributes without becoming a unique entity itself. The example demonstrates a MailSender mixin class that a EmailableContact class inherits from along with a Contact class, allowing send_mail functionality to be reused across classes.
This document provides an introduction and overview of various Python programming concepts including print statements, math operations, variables, selection using if/else statements, and iteration using while and for loops. Examples are given for basic "Hello World" programs, math calculations, variables, checking if a number is odd or even, and finding the largest of three numbers. Loops are demonstrated for printing ranges of numbers, calculating sums and factorials. The document also discusses data types and operations in Python.
The document discusses basic inheritance in Python. It explains that all classes inherit from the base Object class. Inheritance allows creating subclasses that inherit attributes and methods from a parent superclass. This allows code reuse and adding specialized behavior. An example creates a Contact class to store names and emails, with a Supplier subclass that adds an "order" method. A SupplierCheck subclass then overrides the order method to check the customer balance before processing orders.
The document discusses manager objects in Python. Manager objects delegate responsibilities to other methods rather than performing tasks directly. An example manager class is provided that finds and replaces text within files within a compressed ZIP file. The manager object's methods each perform a single step: unzipping the file, finding and replacing text, and rezipping the files. This partitioning improves readability, extensibility, and reusability of the methods.
Polymorphism allows the same method name to perform different actions depending on the object type. The document discusses polymorphism in the context of playing different audio file types (e.g. MP3, WAV, OGG). It defines an AudioFile parent class with subclasses for each file type that override the play() method. This allows calling play() on any audio file object while the correct playback logic is handled polymorphically based on the file's type.
Python: Migrating from Procedural to Object-Oriented ProgrammingDamian T. Gordon
The document discusses migrating code to an object-oriented approach. It begins with an example of modeling polygons with points and calculating perimeters procedurally. It then shows how to model this using classes to encapsulate the Point and Polygon logic and attributes. The document also discusses using properties to add behavior when getting and setting attributes, like validation checks. Properties allow interacting with attributes through getter and setter methods while retaining the attribute syntax.
The document describes the Extreme Programming (XP) model, an agile software development methodology created by Kent Beck. It discusses the key assumptions and practices of XP, including short iterative development cycles, frequent integration and testing, pair programming, and prioritizing customer feedback. The advantages are reducing costs and risks through simplicity, spreading work across the team. Disadvantages include potential lack of upfront design and measurement of quality assurance.
An object oriented concept in python is detailed for the students or anyone who aspire to learn more powerful concept that helps in developing software or any web development to the persons who work in a tech filed
This document discusses classes and objects in Python. It introduces defining a class with fields and methods, using a class by creating objects and calling methods, constructors, the __init__ method, the __str__ method for string representation, operator overloading, inheritance between classes, and calling superclass methods from a subclass. Examples of a Point class are provided throughout to demonstrate various object-oriented programming concepts in Python.
This document discusses classes and objects in Python. It introduces defining a class with fields and methods, using a class by creating objects and calling methods, constructors, the self parameter, overriding methods like __str__ and adding operator overloading. It also covers inheritance, calling superclass methods, and generating exceptions. The document uses the Point class as a running example and includes exercises to write methods for it.
This document introduces valid_model, a Python library for declarative data modeling. It allows defining data models using descriptors to specify data types and validation rules. This provides strict typing while remaining unopinionated about persistence. Custom descriptors can extend the library's functionality. The library aims to enable use cases like database modeling, form validation, and API request/response objects.
The Ring programming language version 1.5.2 book - Part 37 of 181Mahmoud Samir Fayed
This document discusses using the Ring programming language to create natural language programs based on classes and objects. It provides an example of defining classes to represent the natural language instructions "I want window" and "Window title =". The example shows how objects can execute code for each instruction. The document also discusses changing the Ring keyword "and" to avoid conflicts when parsing natural language statements. In summary, this document demonstrates how Ring allows programmers to build natural language interfaces by defining classes for natural language statements.
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.
The Ring programming language version 1.5.4 book - Part 38 of 185Mahmoud Samir Fayed
This document discusses using nested structures and declarative programming in Ring. It provides examples of:
1. Creating objects inside lists and adding objects to lists.
2. Returning objects and lists by reference when used as attributes or returned from functions.
3. Executing code after accessing an object using braces {} by defining a BraceEnd() method.
4. Building a declarative programming environment in Ring using nested structures, object access with braces, returning objects by reference, and optional setter/getter methods.
This document discusses several Java programming concepts including nested classes, object parameters, recursion, and command line arguments. Nested classes allow a class to be declared within another class and access private members of the outer class. Objects can be passed as parameters to methods, allowing the method to modify the object's fields. Recursion is when a method calls itself, such as a recursive method to calculate factorials. Command line arguments allow passing input to a program when running it from the command line.
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
Ever seen a code base where understanding a simple method meant jumping through tangled class hierarchies? We all have! And while "Favor composition over inheritance!" is almost as old as object-oriented programming, strictly avoiding all types of subclassing leads to verbose, un-Pythonic code. So, what to do?
The discussion on composition vs. inheritance is so frustrating because far-reaching design decisions like this can only be made with the ecosystem in mind – and because there's more than one type of subclassing!
Let's take a dogma-free stroll through the types of subclassing through a Pythonic lens and untangle some patterns and trade-offs together. By the end, you'll be more confident in deciding when subclassing will make your code more Pythonic and when composition will improve its clarity.
This document discusses key concepts of object-oriented programming (OOP) such as classes, objects, encapsulation, abstraction, inheritance, polymorphism, and more. It begins by defining a class as a blueprint for creating object instances. An object contains both data fields (also called attributes or properties) and methods to manipulate that data. Encapsulation binds the data to the methods that operate on it, while abstraction hides unnecessary implementation details. The document also covers constructors, destructors, access specifiers, and static members in classes.
The Ring programming language version 1.6 book - Part 40 of 189Mahmoud Samir Fayed
This document provides documentation on the Ring programming language and demonstrates how to perform various tasks.
It introduces the security and internet classes, showing how to encrypt/decrypt strings and download web pages. Methods of the security class like md5, sha1, sha256 are demonstrated.
The document then discusses declarative programming using nested structures. It shows how to create objects inside lists, compose objects as attributes, and return objects by reference. Executing code after object access via a BraceEnd() method is also demonstrated. Finally, declarative programming on top of object-oriented programming in Ring is presented.
This document provides an introduction to the Python programming language. It covers basic Python concepts like data types, strings, data structures, classes, methods, exceptions, iterations, generators, and scopes. Python is described as an easy to learn, read, and use dynamic language with a large selection of stable libraries. It is presented as being much easier than bash scripts for building and maintaining complex system infrastructure.
Object Trampoline: Why having not the object you want is what you need.Workhorse Computing
Overview of Trampoline Objects in Perl with examples for lazy construction, lazy module use, added sanity checks. This version includes corrections from the original presented at OSCON 2013 and comments.
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.
در این جلسه به بررسی بحث برنامه نویسی شی گرا و کلاس ها در پایتون پرداختیم
PySec101 Fall 2013 J7E1 By Mohammad Reza Kamalifard
Talk About:
Object oriented programming and Classes in Python
This document provides an overview of the Python programming language. It begins with an introduction to why Python is a good choice. It then outlines a tutorial on Python's basic types like numbers, strings, lists, dictionaries, variables, control structures, functions, classes, modules, exceptions, and files. It encourages downloading the latest Python version and using the interactive shell or IDLE to experiment. The bulk of the document then provides details on Python's core concepts like numbers, strings, lists, dictionaries, tuples, variables, control structures, functions, classes, modules, exceptions, and files. It concludes by discussing new features in Python 2.0 and 2.1.
Jack Lutkus is an education champion, community-minded innovator, and cultural enthusiast. A social work graduate student at Aurora University, he also holds a BA from the University of Iowa.
This presentation has been made keeping in mind the students of undergraduate and postgraduate level. To keep the facts in a natural form and to display the material in more detail, the help of various books, websites and online medium has been taken. Whatever medium the material or facts have been taken from, an attempt has been made by the presenter to give their reference at the end.
In the seventh century, the rule of Sindh state was in the hands of Rai dynasty. We know the names of five kings of this dynasty- Rai Divji, Rai Singhras, Rai Sahasi, Rai Sihras II and Rai Sahasi II. During the time of Rai Sihras II, Nimruz of Persia attacked Sindh and killed him. After the return of the Persians, Rai Sahasi II became the king. After killing him, one of his Brahmin ministers named Chach took over the throne. He married the widow of Rai Sahasi and became the ruler of entire Sindh by suppressing the rebellions of the governors.
Christian education is an important element in forming moral values, ethical Behaviour and
promoting social unity, especially in diverse nations like in the Caribbean. This study examined
the impact of Christian education on the moral growth in the Caribbean, characterized by
significant Christian denomination, like the Orthodox, Catholic, Methodist, Lutheran and
Pentecostal. Acknowledging the historical and social intricacies in the Caribbean, this study
tends to understand the way in which Christian education mold ethical decision making, influence interpersonal relationships and promote communal values. These studies’ uses, qualitative and quantitative research method to conduct semi-structured interviews for twenty
(25) Church respondents which cut across different age groups and genders in the Caribbean. A
thematic analysis was utilized to identify recurring themes related to ethical Behaviour, communal values and moral development. The study analyses the three objectives of the study:
how Christian education Mold’s ethical Behaviour and enhance communal values, the role of
Christian educating in promoting ecumenism and the effect of Christian education on moral
development. Moreover, the findings show that Christian education serves as a fundamental role
for personal moral evaluation, instilling a well-structured moral value, promoting good
Behaviour and communal responsibility such as integrity, compassion, love and respect. However, the study also highlighted challenges including biases in Christian teachings, exclusivity and misconceptions about certain practices, which impede the actualization of
Diptera: The Two-Winged Wonders, The Fly Squad: Order Diptera.pptxArshad Shaikh
Diptera, commonly known as flies, is a large and diverse order of insects that includes mosquitoes, midges, gnats, and horseflies. Characterized by a single pair of wings (hindwings are modified into balancing organs called halteres), Diptera are found in almost every environment and play important roles in ecosystems as pollinators, decomposers, and food sources. Some species, however, are significant pests and disease vectors, transmitting diseases like malaria, dengue, and Zika virus.
Artificial intelligence Presented by JM.jmansha170
AI (Artificial Intelligence) :
"AI is the ability of machines to mimic human intelligence, such as learning, decision-making, and problem-solving."
Important Points about AI:
1. Learning – AI can learn from data (Machine Learning).
2. Automation – It helps automate repetitive tasks.
3. Decision Making – AI can analyze and make decisions faster than humans.
4. Natural Language Processing (NLP) – AI can understand and generate human language.
5. Vision & Recognition – AI can recognize images, faces, and patterns.
6. Used In – Healthcare, finance, robotics, education, and more.
Owner By:
Name : Junaid Mansha
Work : Web Developer and Graphics Designer
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4. The Point Class
class MyFirstClass:
pass
# END Class
“move along, nothing
to see here”
5. The Point Class
class MyFirstClass:
pass
# END Class
class <ClassName>:
<Do stuff>
# END Class
6. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
7. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
8. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
9. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
10. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
11. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
12. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
13. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
14. >>> a = MyFirstClass()
>>> print(a)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = a
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B10>
>>> b = MyFirstClass()
>>> print(b)
<__main__.MyFirstClass object at 0x02D60B30>
19. The Point Class
p1.x = 5
p1.y = 4
p2.x = 3
p2.y = 6
print("P1-x, P1-y is: ", p1.x, p1.y);
print("P2-x, P2-y is: ", p2.x, p2.y);
20. The Point Class
p1.x = 5
p1.y = 4
p2.x = 3
p2.y = 6
print("P1-x, P1-y is: ", p1.x, p1.y);
print("P2-x, P2-y is: ", p2.x, p2.y);
Adding Attributes:
This is all you need to
do, just declare them
21. Python: Object Attributes
• In Python the general form of declaring an attribute is as
follows (we call this dot notation):
OBJECT. ATTRIBUTE = VALUE
29. The Point Class
p = Point()
p.x = 5
p.y = 4
print("P-x, P-y is: ", p.x, p.y);
p.reset()
print("P-x, P-y is: ", p.x, p.y);
30. The Point Class
p = Point()
p.x = 5
p.y = 4
print("P-x, P-y is: ", p.x, p.y);
p.reset()
print("P-x, P-y is: ", p.x, p.y);
31. The Point Class
p = Point()
p.x = 5
p.y = 4
print("P-x, P-y is: ", p.x, p.y);
p.reset()
print("P-x, P-y is: ", p.x, p.y);
We can also say:
Point.reset(p)
33. The Point Class
class Point:
def reset(self):
self.x = 0
self.y = 0
# END Reset
# END Class
34. The Point Class
• We can do this in a slightly different way, as follows:
35. The Point Class
class Point:
def move(self,a,b):
self.x = a
self.y = b
# END Move
def reset(self):
self.move(0,0)
# END Reset
# END Class
36. The Point Class
class Point:
def move(self,a,b):
self.x = a
self.y = b
# END Move
def reset(self):
self.move(0,0)
# END Reset
# END Class
Declare a new method
called “move” that writes
values into the object.
37. The Point Class
class Point:
def move(self,a,b):
self.x = a
self.y = b
# END Move
def reset(self):
self.move(0,0)
# END Reset
# END Class
Declare a new method
called “move” that writes
values into the object.
Move the values 0 and 0
into the class to reset.
39. The Point Class
• The distance between two points is:
d
d = √(x2 – x1)2 + (y2 – y1) 2
d = √(6 – 2)2 + (5 – 2) 2
d = √(4)2 + (3)2
d = √16 + 9
d = √25
d = 5
43. The Point Class
import math
class Point:
def calc_distance(self, other_point):
return math.sqrt(
(self.x – other_point.x)**2 +
(self.y – other_point.y)**2)
# END calc_distance
# END Class d = √(x2 – x1)2 + (y2 – y1)2
45. The Point Class
p1 = Point()
p2 = Point()
p1.move(2,2)
p2.move(6,5)
print("P1-x, P1-y is: ", p1.x, p1.y)
print("P2-x, P2-y is: ", p2.x, p2.y)
print("Distance from P1 to P2 is:", p1.calc_distance(p2))
p1
p2
52. Initialising an Object
• So what can we do?
• We need to create a method that forces the programmers to
initialize the attributes of the class to some starting value, just
so that we don’t have this problem.
53. Initialising an Object
• So what can we do?
• We need to create a method that forces the programmers to
initialize the attributes of the class to some starting value, just
so that we don’t have this problem.
• This is called an initialization method.
54. Initialising an Object
• Python has a special name it uses for initialization methods.
_ _ init _ _()
56. Initialising an Object
class Point:
def __init__(self,x,y):
self.move(x,y)
# END Init
def move(self,a,b):
self.x = a
self.y = b
# END Move
def reset(self):
self.move(0,0)
# END Reset
# END Class
When you create an object from
this class, you are going to have to
declare initial values for X and Y.
57. Initialising an Object
• So without the initialization method we could do this:
– p1 = Point()
– p2 = Point()
• but with the initialization method we have to do this:
– p1 = Point(6,5)
– p2 = Point(2,2)
59. Initialising an Object
• And if we forget to include the values, what happens?
Traceback (most recent call last):
File "C:/Users/damian.gordon/AppData/Local/
Programs/Python/Python35-32/Point-init.py", line
21, in <module>
p = Point()
TypeError: __init__() missing 2 required
positional arguments: 'x' and 'y'
64. Initialising an Object
• And then we can do:
– p1 = Point()
– p2 = Point(2,2)
If we don’t supply any values, the
initialization method will set the
values to 0,0.
65. Initialising an Object
• And then we can do:
– p1 = Point()
– p2 = Point(2,2)
If we don’t supply any values, the
initialization method will set the
values to 0,0.
But we can also supply the values,
and the object is created with these
default values.
67. Documenting the Methods
• Python is considered one of the most easy
programming languages, but nonetheless a vital part
of object-orientated programming is to explain what
each class and method does to help promote object
reuse.
68. Documenting the Methods
• Python supports this through the use of
docstrings.
• These are strings enclosed in either quotes(‘) or
doublequotes(“) just after the class or method
declaration.
69. Documenting the Methods
class Point:
“Represents a point in 2D space”
def __init__(self,x,y):
‘Initialise the position of a new point’
self.move(x,y)
# END Init
70. Documenting the Methods
def move(self,a,b):
‘Move the point to a new location’
self.x = a
self.y = b
# END Move
def reset(self):
‘Reset the point back to the origin’
self.move(0,0)
# END Reset
72. Initialising an Object
• And you’ll get:
Help on class Point in module __main__:
class Point(builtins.object)
| Represents a point in 2D space
|
| Methods defined here:
|
| calc_distance(self, other_point)
| Get the distance between two points
|
| move(self, a, b)
| Move the point to a new location
|
| reset(self)
| Reset the point back to the origin
| ----------------------------------------------