This document provides an overview of object-oriented programming (OOP) with Python. It defines some key OOP concepts like objects, classes, encapsulation, inheritance, and polymorphism. It explains that in OOP, data and functions that operate on that data are bundled together into objects. Classes provide templates for creating objects with common properties and functions. The document also gives examples of various OOP features like class variables, instance variables, methods, and constructors.
This document summarizes an upcoming webinar on Python. The webinar will cover object-oriented programming in Python, Numpy, and Pandas. It provides background on procedural programming versus object-oriented programming, describing key concepts of OOP like classes, objects, encapsulation, inheritance, polymorphism, and abstraction. It then goes into detail explaining each of these OOP concepts through examples and definitions.
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.
Object-oriented programming (OOP) organizes code around data objects rather than functions. In Python, classes are user-defined templates for objects that contain attributes (data) and methods (functions). When a class is instantiated, an object is created with its own copies of the attributes. Self refers to the object itself and allows methods to access and modify its attributes. Classes in Python allow for code reusability, modularity, and flexibility through encapsulation, inheritance, and polymorphism.
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.
This document discusses object-oriented programming concepts in Python like classes, objects, encapsulation, inheritance and polymorphism. It explains that classes are user-defined blueprints that contain data fields and methods, and objects are instances of classes. The key concepts of OOP like data encapsulation, abstraction, inheritance and polymorphism are explained with examples in Python. Various special methods like __init__(), __str__(), __repr__() and their usage with classes are also covered.
OOP Concepts Python with code refrences.pptxSofiMusic
Object-Oriented Programming (OOP) is a programming paradigm that uses objects and classes.
Helps in structuring the code for reusability, modularity, and scalability.
Python supports OOP along with procedural and functional programming.
Slide 2: Key Concepts of OOP
Class - Blueprint for creating objects.
Object - An instance of a class.
Encapsulation - Restricting direct access to some data.
Abstraction - Hiding complex implementation details.
Inheritance - Deriving new classes from existing ones.
Polymorphism - Ability to take multiple forms (method overriding and overloading).
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.
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.
The document discusses object-oriented programming concepts in Python like classes, objects, methods, variables, inheritance and polymorphism. It provides examples of how to define a class with attributes and methods, create objects, and access variables and call methods. It also explains different types of methods like instance methods, class methods, static methods and variable types like instance and static/class variables. Inheritance allows creating new classes from existing classes for code reusability.
Object oriented programming 6 oop with c++Vaibhav Khanna
This document discusses core concepts of object-oriented programming (OOP). It explains that OOP aims to represent real-world entities as objects that interact by sending messages. It then defines key OOP concepts - objects are run-time entities representing people or things, classes are user-defined types that define objects, encapsulation wraps data and functions into classes, inheritance allows classes to inherit properties from other classes, polymorphism allows the same operation to behave differently based on object type, dynamic binding determines behavior at run-time based on object type, and message passing allows objects to communicate by sending requests.
I’m thrilled to share my latest presentation on Object-Oriented Programming (OOP) in Python! This presentation delves into essential concepts that enhance code structure, promote reusability, and ensure maintainability. Whether you’re an experienced developer or new to the programming landscape, mastering OOP principles is key to writing efficient and effective code.
Key Highlights:
Core Principles of OOP: Get insights into encapsulation, abstraction, inheritance, and polymorphism.
Classes and Objects: Understand the blueprint for creating objects and their attributes.
Methodologies: Explore various types of inheritance, polymorphism, encapsulation, and abstraction.
Best Practices: Discover strategies to write cleaner and more maintainable code.
📊 Explore the presentation to see how OOP can elevate your programming skills and streamline your projects! Let’s embrace the future of software development with structured, reusable, and adaptable code.
I’d love to hear your thoughts, feedback, or any questions you may have! Happy coding! 💻✨
#Python #ObjectOrientedProgramming #OOP #SoftwareDevelopment #Coding #Programming #LearnToCode #TechTalks
This document discusses object oriented programming concepts like classes, objects, encapsulation, and abstraction. It defines classes as blueprints for objects that can contain methods and attributes. Objects are instances of classes that contain the class's methods and properties. Encapsulation is implemented by making fields private and accessing them via public getter and setter methods to protect data. Abstraction exposes only relevant data in a class interface and hides private attributes and methods.
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.
1. Object oriented programming is a programming model organized around objects rather than actions and data rather than logic. The basic concepts are objects, classes, encapsulation, abstraction, data hiding, polymorphism, and inheritance.
2. An object has an identity, properties, and behavior. A class is a blueprint that defines common attributes and behaviors of objects. Classes allow for data and functions to be bundled together.
3. The key features of OOP are encapsulation, which combines data and functions into a class; abstraction, which hides complex details and shows only essential information; inheritance, which forms new classes from existing classes; and polymorphism, which allows the same operation to be performed in different ways.
This document discusses object-oriented programming concepts in Python like classes, objects, encapsulation, inheritance and polymorphism. It explains that classes are user-defined blueprints that contain data fields and methods, and objects are instances of classes. The key concepts of OOP like data encapsulation, abstraction, inheritance and polymorphism are explained with examples in Python. Various special methods like __init__(), __str__(), __repr__() and their usage with classes are also covered.
OOP Concepts Python with code refrences.pptxSofiMusic
Object-Oriented Programming (OOP) is a programming paradigm that uses objects and classes.
Helps in structuring the code for reusability, modularity, and scalability.
Python supports OOP along with procedural and functional programming.
Slide 2: Key Concepts of OOP
Class - Blueprint for creating objects.
Object - An instance of a class.
Encapsulation - Restricting direct access to some data.
Abstraction - Hiding complex implementation details.
Inheritance - Deriving new classes from existing ones.
Polymorphism - Ability to take multiple forms (method overriding and overloading).
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.
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.
The document discusses object-oriented programming concepts in Python like classes, objects, methods, variables, inheritance and polymorphism. It provides examples of how to define a class with attributes and methods, create objects, and access variables and call methods. It also explains different types of methods like instance methods, class methods, static methods and variable types like instance and static/class variables. Inheritance allows creating new classes from existing classes for code reusability.
Object oriented programming 6 oop with c++Vaibhav Khanna
This document discusses core concepts of object-oriented programming (OOP). It explains that OOP aims to represent real-world entities as objects that interact by sending messages. It then defines key OOP concepts - objects are run-time entities representing people or things, classes are user-defined types that define objects, encapsulation wraps data and functions into classes, inheritance allows classes to inherit properties from other classes, polymorphism allows the same operation to behave differently based on object type, dynamic binding determines behavior at run-time based on object type, and message passing allows objects to communicate by sending requests.
I’m thrilled to share my latest presentation on Object-Oriented Programming (OOP) in Python! This presentation delves into essential concepts that enhance code structure, promote reusability, and ensure maintainability. Whether you’re an experienced developer or new to the programming landscape, mastering OOP principles is key to writing efficient and effective code.
Key Highlights:
Core Principles of OOP: Get insights into encapsulation, abstraction, inheritance, and polymorphism.
Classes and Objects: Understand the blueprint for creating objects and their attributes.
Methodologies: Explore various types of inheritance, polymorphism, encapsulation, and abstraction.
Best Practices: Discover strategies to write cleaner and more maintainable code.
📊 Explore the presentation to see how OOP can elevate your programming skills and streamline your projects! Let’s embrace the future of software development with structured, reusable, and adaptable code.
I’d love to hear your thoughts, feedback, or any questions you may have! Happy coding! 💻✨
#Python #ObjectOrientedProgramming #OOP #SoftwareDevelopment #Coding #Programming #LearnToCode #TechTalks
This document discusses object oriented programming concepts like classes, objects, encapsulation, and abstraction. It defines classes as blueprints for objects that can contain methods and attributes. Objects are instances of classes that contain the class's methods and properties. Encapsulation is implemented by making fields private and accessing them via public getter and setter methods to protect data. Abstraction exposes only relevant data in a class interface and hides private attributes and methods.
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.
1. Object oriented programming is a programming model organized around objects rather than actions and data rather than logic. The basic concepts are objects, classes, encapsulation, abstraction, data hiding, polymorphism, and inheritance.
2. An object has an identity, properties, and behavior. A class is a blueprint that defines common attributes and behaviors of objects. Classes allow for data and functions to be bundled together.
3. The key features of OOP are encapsulation, which combines data and functions into a class; abstraction, which hides complex details and shows only essential information; inheritance, which forms new classes from existing classes; and polymorphism, which allows the same operation to be performed in different ways.
Introduction to Data Science and its ScopeLipika Sharma
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The document provides an overview of natural language processing (NLP) including definitions, applications, modeling techniques, and tools used. It defines NLP as making computers understand human language and discusses applications like email filters, assistants, translation, and data analysis. Techniques covered include data preprocessing, tokenization, stop words removal, stemming, lemmatization, bag of words, TF-IDF, word embeddings, and sentiment analysis. Python is highlighted as a commonly used programming language and libraries like NLTK are mentioned. Demos are provided of tokenization, stemming, lemmatization, and sentiment analysis.
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2. Replay
Module 2 :Overview of Data Science Tools and Technologies
• Introduction to popular data science tools such as R
• Introduction to popular data science tools such as SQL
• Overview of machine learning algorithms and their applications
4. Functions with no arguments
• Python Functions is a block of statements that return the
specific task. The idea is to put some commonly or repeatedly
done tasks together and make a function so that instead of
writing the same code again and again for different inputs, we
can do the function calls to reuse code contained in it over and
over again.
5. Use function arguments in Python
• Information can be passed into
functions as arguments. Arguments
are specified after the function name,
inside the parentheses. You can add as
many arguments as you want, just
separate them with a comma.
• A parameter is the variable listed inside
the parentheses in the function
definition.
• An argument is the value that are sent
to the function when it is called.
The terms parameter and argument can be used for the same thing: information that are passed into a
function.
6. OOPS
Object-Oriented Programming (OOPs) is a programming
paradigm that uses objects and classes in programming.
OOPs, concepts in python, aim to implement real-world
entities like inheritance, polymorphisms, encapsulation,
etc., in the programming.
The concept of OOP in Python focuses on building
efficient and reusable code. This is also known as DRY
(don't repeat yourself).
7. How to Create a Class in Python
• A Class is like an object
constructor, or a "blueprint"
for creating objects.
• A class is created using the
keyword class.
• Attributes refer to variables
that belong to a class.
• These attributes are always
public, and you can access
them using a dot (.).
class ClassName:
#statement_suite
# Declare an object of a class
object_name = ClassName(argume
nts)
8. Method and Constructor in
Python
Methods are essential components of
Python object-oriented programming
(OOP) as they encapsulate the functionality
associated with the objects.
Method
Class Games:
X=100
Def value(self):
print(self.X)
Obj=Games()
Obj.value()
Constructors are generally used for instantiating an
object. The task of constructors is to initialize(assign
values) to the data members of the class when an
object of the class is created. In Python the __init__()
method is called the constructor and is always
called when an object is created.
Constructor
class Games:
# default constructor
def __init__(self):
print(“welcome”)
# creating object of the class
obj = Games()
9. Inheritance
• Inheritance is the capability of one class to derive or inherit the
properties from another class. The class that derives properties is
called the derived class or child class and the class from which the
properties are being derived is called the base class or parent class.
10. Encapsulation
Encapsulation is one of the fundamental concepts in object-
oriented programming (OOP). It describes the idea of wrapping
data and the methods that work on data within one unit. This puts
restrictions on accessing variables and methods directly and can
prevent the accidental modification of data. To prevent accidental
change, an object’s variable can only be changed by an object’s
method. Those types of variables are known as private variables.
A class is an example of encapsulation as it encapsulates all the
data that is member functions, variables, etc.
11. Polymorphism
• Poly' means multiple and 'morph' means forms. So, polymorphism altogether
means something that has multiple forms. Or, 'some thing' that can have
multiple behaviours depending upon the situation.
• Polymorphism in OOPS refers to the functions having the same names but
carrying different functionalities. Or, having the same function name, but
different function signature(parameters passed to the function).
12. Abstraction
• Abstraction just shows us the functionalities anything holds, hiding all the
implementations or inner details.
• The main goal of Abstraction is to hide background details or any unnecessary
implementation about the data so that users only see the required information. It
helps in handling the complexity of the codes.
• Abstraction can be achieved by using abstract classes
• A class that consists of one or more abstract methods is called the "abstract class".
• Abstract class can be inherited by any subclass. The subclasses that inherit the
abstract classes provide the implementations for their abstract methods.
• Abstract classes can act like blueprint to other classes, which are useful when we
are designing large functions. And the subclass which inherits them can refer to the
abstract methods for implementing the features.