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 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.
Python classes allow for the creation of object-oriented programming through defining blueprints for objects with shared attributes and behaviors. Classes are created using the class keyword and contain attributes like variables and methods like functions. Objects are instantiated from classes and can access both class level and instance level attributes. Key concepts covered include inheritance, encapsulation, polymorphism, and special methods.
Python classes allow for the creation of object-oriented programming in Python. Classes define blueprints for objects with shared attributes and behaviors. Key aspects of classes include defining attributes and methods, constructing objects from classes, inheritance that allows subclasses to extend parent classes, and special methods that enable built-in behaviors. Classes are a fundamental part of Python that enable code reuse and organization.
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.
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.
OOPS stands for Object-Oriented Programming System or Object-Oriented Programming Structure. It's a programming paradigm that organizes code into objects that contain data and behavior.
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.
Object in python tells about object oriented programming in pythonReshmiShaw2
This document presents an overview of objects in Python. It defines what objects and classes are, explaining that objects are instances of classes that combine data and methods. It provides examples of defining a class called Person with name and age attributes and a greet method. It then instantiates Person objects called person1 and person2, demonstrating how they have unique attribute values but share the class's methods. The document concludes by acknowledging the Python community and citing references used.
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 summarizes an introductory session on object-oriented programming in Python. It introduces key concepts of OOP like classes, objects, attributes, methods, encapsulation, inheritance and provides examples of defining classes for a Person and Bank Account. It also demonstrates how to define a class, create objects, access attributes and methods in Python. The benefits of OOP like code reusability, abstraction and inheritance are discussed.
Object oriented programming (OOP) in Python uses classes and objects. A class defines attributes and behaviors that objects can have. An object is an instance of a class that represents a real-world entity with unique attribute values and behaviors. The __init__() method initializes new objects by assigning values to attributes. Classes allow for code reuse through inheritance, where child classes inherit attributes and behaviors from parent classes.
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).
The document introduces Python modules and importing. It discusses three formats for importing modules: import somefile, from somefile import *, and from somefile import className. It describes commonly used Python modules like sys, os, and math. It also covers defining your own modules, directories for module files, object-oriented programming in Python including defining classes, creating and deleting instances, methods and self, accessing attributes and methods, attributes, inheritance, and redefining methods.
This document discusses object-oriented programming concepts in Python including classes, objects, attributes, methods, inheritance, polymorphism, and special methods. Key points include:
- Classes are templates that define objects, while objects are instantiations of classes with unique attribute values.
- Methods define object behaviors. The self parameter refers to the current object instance.
- Inheritance allows classes to extend existing classes, reusing attributes and methods from parent classes.
- Special methods with double underscores have predefined meanings (e.g. __init__ for constructors, __repr__ for string representation).
Problem solving with python programming OOP's Conceptrohitsharma24121
This document discusses object-oriented programming concepts in Python including classes, objects, inheritance, encapsulation, polymorphism and abstraction. It provides examples of defining classes and objects in Python, creating methods, modifying and deleting object properties, inheritance between parent and child classes using the super() function, and using abstraction, encapsulation and polymorphism. Key topics covered include class definitions, the __init__() method, self parameter, inheritance between multiple classes, and polymorphism through method overloading and overriding.
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.
OOPS stands for Object-Oriented Programming System or Object-Oriented Programming Structure. It's a programming paradigm that organizes code into objects that contain data and behavior.
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.
Object in python tells about object oriented programming in pythonReshmiShaw2
This document presents an overview of objects in Python. It defines what objects and classes are, explaining that objects are instances of classes that combine data and methods. It provides examples of defining a class called Person with name and age attributes and a greet method. It then instantiates Person objects called person1 and person2, demonstrating how they have unique attribute values but share the class's methods. The document concludes by acknowledging the Python community and citing references used.
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 summarizes an introductory session on object-oriented programming in Python. It introduces key concepts of OOP like classes, objects, attributes, methods, encapsulation, inheritance and provides examples of defining classes for a Person and Bank Account. It also demonstrates how to define a class, create objects, access attributes and methods in Python. The benefits of OOP like code reusability, abstraction and inheritance are discussed.
Object oriented programming (OOP) in Python uses classes and objects. A class defines attributes and behaviors that objects can have. An object is an instance of a class that represents a real-world entity with unique attribute values and behaviors. The __init__() method initializes new objects by assigning values to attributes. Classes allow for code reuse through inheritance, where child classes inherit attributes and behaviors from parent classes.
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).
The document introduces Python modules and importing. It discusses three formats for importing modules: import somefile, from somefile import *, and from somefile import className. It describes commonly used Python modules like sys, os, and math. It also covers defining your own modules, directories for module files, object-oriented programming in Python including defining classes, creating and deleting instances, methods and self, accessing attributes and methods, attributes, inheritance, and redefining methods.
This document discusses object-oriented programming concepts in Python including classes, objects, attributes, methods, inheritance, polymorphism, and special methods. Key points include:
- Classes are templates that define objects, while objects are instantiations of classes with unique attribute values.
- Methods define object behaviors. The self parameter refers to the current object instance.
- Inheritance allows classes to extend existing classes, reusing attributes and methods from parent classes.
- Special methods with double underscores have predefined meanings (e.g. __init__ for constructors, __repr__ for string representation).
Problem solving with python programming OOP's Conceptrohitsharma24121
This document discusses object-oriented programming concepts in Python including classes, objects, inheritance, encapsulation, polymorphism and abstraction. It provides examples of defining classes and objects in Python, creating methods, modifying and deleting object properties, inheritance between parent and child classes using the super() function, and using abstraction, encapsulation and polymorphism. Key topics covered include class definitions, the __init__() method, self parameter, inheritance between multiple classes, and polymorphism through method overloading and overriding.
Virtual reality (VR) is an interactive simulation that immerses users in a 3D virtual world. The document outlines the history of VR from early flight simulators to modern commercial systems. It describes types of VR including immersive VR using head-mounted displays and mixed reality. The key technologies that enable VR like head displays, data gloves, and control devices are also discussed. Current applications of VR span entertainment, medicine, manufacturing, and education. While issues remain around simulator sickness and cost, VR offers opportunities for visualization, interaction, and experiencing virtual worlds.
The document provides an overview of virtual reality (VR), including its history, types, technologies, applications, and challenges. It discusses how VR immerses users in simulated, 3D environments through head-mounted displays and other sensory inputs. The document also outlines the typical components of a VR system, including input processors, simulation processors, rendering processors, and world databases that store virtual objects and environments. Some applications mentioned include entertainment, medicine, manufacturing, education, and training. Current issues with VR adoption include cybersickness, cost, and lack of integration between software packages.
Lecture_Introduction to Technical Drawing (5th April).pptAsadKhokhar14
This document provides information about the Technical Drawing and Graphics course for the Spring 2023 semester in the Department of Mechanical Engineering Technology. It includes the course timetable, policies, rules, weightage of marks, course description and objectives. The importance of technical drawing and CAD is discussed. Basic concepts of engineering drawing such as geometry, dimensions, tolerances and layout of drawing sheets are also explained. Common drawing symbols are shown.
The document defines moment as the turning effect of a force about a point, and provides the mathematical formula for moment as M = P x l, where P is the force and l is the perpendicular distance to the point. It then explains Varignon's Principle of Moments, which states that the algebraic sum of moments of all forces about any point equals the moment of the resultant force about the same point. The document goes on to discuss parallel forces and couples, defining a couple as two equal and parallel forces acting in opposite directions, and provides examples of couples in real life. It compares torque and moment to a couple. Finally, it provides example problems calculating resultants and moments.
The document discusses key concepts about computers including:
1) It defines data as raw unorganized facts that can be in various forms, while information is data that has been processed into a meaningful form through information processing.
2) It explains that software, including operating systems and application software, controls computer hardware and allows it to perform specific tasks.
3) It describes computer networks and the internet, where the internet is the world's largest computer network and the World Wide Web allows access to web pages through internet browsers.
The document provides information on the Indus Valley Civilization that originated around 2500 BCE. It discusses the earliest discoveries of Harappa and Mohenjo-Daro in 1856 and details about the urban planning and architecture of these cities. The document also covers the origins of the Indus Valley peoples as early farmers, their crafts and trade networks, and burial practices. It then describes the later migrations of the Aryans into the region around 1500 BCE and their development of Vedic religion, as well as the evolution of the caste system in India.
Who will create the languages of the future?Jordi Cabot
Will future languages be created by language engineers?
Can you "vibe" a DSL?
In this talk, we will explore the changing landscape of language engineering and discuss how Artificial Intelligence and low-code/no-code techniques can play a role in this future by helping in the definition, use, execution, and testing of new languages. Even empowering non-tech users to create their own language infrastructure. Maybe without them even realizing.
In this session we cover the benefits of a migration to Cosmos DB, migration paths, common pain points and best practices. We share our firsthand experiences and customer stories. Adiom is the trusted partner for migration solutions that enable seamless online database migrations from MongoDB to Cosmos DB vCore, and DynamoDB to Cosmos DB for NoSQL.
Looking for a BIRT Report Alternative Here’s Why Helical Insight Stands Out.pdfVarsha Nayak
The search for an Alternative to BIRT Reports has intensified as companies face challenges with BIRT's steep learning curve, limited visualization capabilities, and complex deployment requirements. Organizations need reporting solutions that offer intuitive design interfaces, comprehensive analytics features, and seamless integration capabilities – all while maintaining the reliability and performance that enterprise environments demand.
Meet You in the Middle: 1000x Performance for Parquet Queries on PB-Scale Dat...Alluxio, Inc.
Alluxio Webinar
June 10, 2025
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
David Zhu (Engineering Manager @ Alluxio)
Storing data as Parquet files on cloud object storage, such as AWS S3, has become prevalent not only for large-scale data lakes but also as lightweight feature stores for training and inference, or as document stores for Retrieval-Augmented Generation (RAG). However, querying petabyte-to-exabyte-scale data lakes directly from S3 remains notoriously slow, with latencies typically ranging from hundreds of milliseconds to several seconds.
In this webinar, David Zhu, Software Engineering Manager at Alluxio, will present the results of a joint collaboration between Alluxio and a leading SaaS and data infrastructure enterprise that explored leveraging Alluxio as a high-performance caching and acceleration layer atop AWS S3 for ultra-fast querying of Parquet files at PB scale.
David will share:
- How Alluxio delivers sub-millisecond Time-to-First-Byte (TTFB) for Parquet queries, comparable to S3 Express One Zone, without requiring specialized hardware, data format changes, or data migration from your existing data lake.
- The architecture that enables Alluxio’s throughput to scale linearly with cluster size, achieving one million queries per second on a modest 50-node deployment, surpassing S3 Express single-account throughput by 50x without latency degradation.
- Specifics on how Alluxio offloads partial Parquet read operations and reduces overhead, enabling direct, ultra-low-latency point queries in hundreds of microseconds and achieving a 1,000x performance gain over traditional S3 querying methods.
NTRODUCTION TO SOFTWARE TESTING
• Definition:
• Software testing is the process of evaluating and
verifying that a software application or system meets
specified requirements and functions correctly.
• Purpose:
• Identify defects and bugs in the software.
• Ensure the software meets quality standards.
• Validate that the software performs as intended in
various scenarios.
• Importance:
• Reduces risks associated with software failures.
• Improves user satisfaction and trust in the product.
• Enhances the overall reliability and performance of
the software
Artificial Intelligence Applications Across IndustriesSandeepKS52
Artificial Intelligence is a rapidly growing field that influences many aspects of modern life, including transportation, healthcare, and finance. Understanding the basics of AI provides insight into how machines can learn and make decisions, which is essential for grasping its applications in various industries. In the automotive sector, AI enhances vehicle safety and efficiency through advanced technologies like self-driving systems and predictive maintenance. Similarly, in healthcare, AI plays a crucial role in diagnosing diseases and personalizing treatment plans, while in financial services, it helps in fraud detection and risk management. By exploring these themes, a clearer picture of AI's transformative impact on society emerges, highlighting both its potential benefits and challenges.
AI and Deep Learning with NVIDIA TechnologiesSandeepKS52
Artificial intelligence and deep learning are transforming various fields by enabling machines to learn from data and make decisions. Understanding how to prepare data effectively is crucial, as it lays the foundation for training models that can recognize patterns and improve over time. Once models are trained, the focus shifts to deployment, where these intelligent systems are integrated into real-world applications, allowing them to perform tasks and provide insights based on new information. This exploration of AI encompasses the entire process from initial concepts to practical implementation, highlighting the importance of each stage in creating effective and reliable AI solutions.
How to Choose the Right Web Development Agency.pdfCreative Fosters
Choosing the right web development agency is key to building a powerful online presence. This detailed guide from Creative Fosters helps you evaluate agencies based on experience, portfolio, technical skills, communication, and post-launch support. Whether you're launching a new site or revamping an old one, these expert tips will ensure you find a reliable team that understands your vision and delivers results. Avoid common mistakes and partner with an agency that aligns with your goals and budget.
Wondershare PDFelement Pro 11.4.20.3548 Crack Free DownloadPuppy jhon
➡ 🌍📱👉COPY & PASTE LINK👉👉👉 ➤ ➤➤ https://drfiles.net/
Wondershare PDFelement Professional is professional software that can edit PDF files. This digital tool can manipulate elements in PDF documents.
Code and No-Code Journeys: The Coverage OverlookApplitools
Explore practical ways to expand visual and functional UI coverage without deep coding or heavy maintenance in this session. Session recording and more info at applitools.com
A brief introduction to OpenTelemetry, with a practical example of auto-instrumenting a Java web application with the Grafana stack (Loki, Grafana, Tempo, and Mimir).
Async-ronizing Success at Wix - Patterns for Seamless Microservices - Devoxx ...Natan Silnitsky
In a world where speed, resilience, and fault tolerance define success, Wix leverages Kafka to power asynchronous programming across 4,000 microservices. This talk explores four key patterns that boost developer velocity while solving common challenges with scalable, efficient, and reliable solutions:
1. Integration Events: Shift from synchronous calls to pre-fetching to reduce query latency and improve user experience.
2. Task Queue: Offload non-critical tasks like notifications to streamline request flows.
3. Task Scheduler: Enable precise, fault-tolerant delayed or recurring workflows with robust scheduling.
4. Iterator for Long-running Jobs: Process extensive workloads via chunked execution, optimizing scalability and resilience.
For each pattern, we’ll discuss benefits, challenges, and how we mitigate drawbacks to create practical solutions
This session offers actionable insights for developers and architects tackling distributed systems, helping refine microservices and adopting Kafka-driven async excellence.
INTRODUCTION:TRANSMISSION MEDIA
• A transmission media in data communication is a physical path between the sender and
the receiver and it is the channel through which data can be sent from one location to
another. Data can be represented through signals by computers and other sorts of
telecommunication devices. These are transmitted from one device to another in the
form of electromagnetic signals. These Electromagnetic signals can move from one
sender to another receiver through a vacuum, air, or other transmission media.
Electromagnetic energy mainly includes radio waves, visible light, UV light, and gamma
ra
AI-Powered Compliance Solutions for Global Regulations | Certivocertivoai
Certivo offers AI-powered compliance solutions designed to help businesses in the USA, EU, and UK simplify complex regulatory demands. From environmental and product compliance to safety, quality, and sustainability, our platform automates supplier documentation, manages certifications, and integrates with ERP/PLM systems. Ensure seamless RoHS, REACH, PFAS, and Prop 65 compliance through predictive insights and multilingual support. Turn compliance into a competitive edge with Certivo’s intelligent, scalable, and audit-ready platform.
Presentation on Classes In Python Programming language
1. Classes in Python
Unlock the power of object-oriented programming with classes in Python.
by Asad Khokhar
2. What are classes in Python?
Classes provide a way to bundle data and functionality together. Learn how to define and use classes to
organize your code.
3. Creating a class in Python
Discover the syntax and conventions for creating your own classes in
Python. Get hands-on experience with class creation.
4. Defining attributes and
methods in a class
Learn how to define attributes to store data and methods to perform
actions within a class. Understand the difference between instance and
class attributes.
5. Creating instances of a class
Dive into the concept of instantiation and explore how to create multiple instances of a class to work with
different objects.
6. Inheritance and polymorphism
Unlock the power of inheritance and polymorphism to reuse and extend code. Explore the different types
of inheritance and dynamic polymorphism.
7. Encapsulation and data hiding
Discover how to encapsulate data and hide implementation details to build robust and secure classes.
Understand the importance of access modifiers.
8. Working with class variables
and instance variables
Learn how to utilize class variables and instance variables to store and
manipulate data. Explore their differences and use cases.
