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) A Python class defines the properties and methods that objects of a certain kind can have. It acts as a blueprint for creating objects.
2) The __init__() method is called automatically when a new object is created, and is used to initialize the object's properties.
3) The self variable refers to the instance of the class and allows access to instance attributes and methods from within methods defined inside the class. It works as a reference to the object.
This document discusses object-oriented programming concepts like classes, objects, encapsulation, inheritance and polymorphism. It provides examples of creating a class with private data members and public methods, including a default constructor. Another example shows a parameterized constructor that initializes attributes. Classes can inherit attributes and behaviors from other classes. Methods can be overloaded to perform different actions depending on the input parameters. The overall purpose is to demonstrate how to define classes and create objects in C++ using object-oriented programming principles.
Python Programming - VI. Classes and ObjectsRanel Padon
This document discusses classes and objects in Python programming. It covers key concepts like class attributes, instantiating classes to create objects, using constructors and destructors, composition where objects have other objects as attributes, and referencing objects. The document uses examples like a Time class to demonstrate class syntax and how to define attributes and behaviors for classes.
This document provides an introduction to object-oriented programming concepts. It defines object-oriented programming as a way to conceptualize a program as interacting objects. Key concepts discussed include:
- Classes define templates for objects and their properties and behaviors.
- Objects are instantiated from classes and represent specific instances.
- Inheritance allows new classes to inherit properties from parent classes.
- Encapsulation groups related properties and methods together within objects.
- Polymorphism allows methods to perform different actions depending on an object's properties.
This document discusses classes and objects in Java. It explains that classes are composite data types that can contain variables of different primitive data types. Wrapper classes are described as classes that wrap primitive data types in objects. The Integer wrapper class is discussed in detail, including how to instantiate Integer objects, common methods like parseInt() and toString(), and examples of converting between Strings and int primitives.
This document discusses classes and objects in Java. It explains that classes are composite data types that can contain variables of different primitive data types. A class acts as a blueprint for creating objects. The new keyword is used to instantiate objects from classes. Wrapper classes are also discussed, which allow primitive data types like int and double to be used as objects. Specific methods of the Integer wrapper class are provided as examples.
Python is an object-oriented programming language. This means that almost all the code is implemented using a special construct called classes.
Python offers classes, which are a effective tool for writing reusable code. To describe objects with shared characteristics and behaviors, classes are utilized.
This presentation provides an overview of object-oriented programming (OOP) concepts including:
- Encapsulation which hides unnecessary implementation details from users.
- Association which represents relationships between objects that have independent lifecycles.
- Inheritance which enables new objects to take on properties of existing objects.
- Polymorphism which allows objects to take different forms through method overloading and overriding.
- Exception handling which provides control transfer when exceptions occur using try, catch, throw, and finally.
- Abstract classes and interfaces which define behaviors without providing implementation.
OOP provides advantages like simplicity, modularity, extensibility, maintainability, and reusability.
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.
This document provides an introduction to object-oriented programming (OOP) concepts. It defines OOP as a design philosophy that groups everything as self-sustainable objects. The key OOP concepts discussed are objects, classes, encapsulation, abstraction, inheritance, polymorphism, method overloading, method overriding, and access modifiers. Objects are instances of classes that can perform related activities, while classes are blueprints that describe objects. Encapsulation hides implementation details within classes, and abstraction focuses on what objects are rather than how they are implemented.
This document provides an overview of object-oriented programming (OOP) concepts. It defines OOP as an approach for building software systems using classes, objects, and inheritance. Key concepts discussed include: classes define properties and behaviors of objects; objects communicate through message passing; inheritance allows classes to extend and specialize other classes; abstraction manages complexity through relevant interfaces; and polymorphism allows classes to take multiple forms. The benefits of interfaces and polymorphism for code reuse and managing different related types are also highlighted.
Beginners Guide to Object Orientation in PHPRick Ogden
The document provides an introduction to object oriented programming in PHP, explaining key concepts like classes, objects, properties, methods, encapsulation, and inheritance. It uses examples like a social networking profile class to demonstrate how to create classes with properties and methods, instantiate objects, and extend classes through inheritance. The document also discusses benefits and drawbacks of the object oriented approach.
This document provides an overview of object-oriented programming (OOP) concepts including objects, classes, encapsulation, inheritance, polymorphism, and abstraction. It explains that OOP allows decomposition of programs into objects that contain both data and functions. Classes act as blueprints for objects and define their properties and behaviors.
This document provides an introduction to object-oriented programming (OOP) concepts. It discusses procedural programming and its limitations. OOP aims to overcome these limitations through concepts like encapsulation, inheritance, polymorphism, and abstraction. Encapsulation binds data and functions together in classes. Inheritance allows deriving new classes from existing classes. Polymorphism allows the same action to be performed in different ways. Abstraction describes things at a conceptual level. Examples are provided to illustrate these core OOP concepts. The next lecture will cover implementing OOP in C# and building a game with Unity 3D.
Classes in Java represent templates for objects that share common properties and behaviors. A class defines the blueprint for objects, but does not use memory itself. Objects are instances of classes that represent real-world entities. For example, Dog is a class while Tommy is an object of the Dog class. Classes contain variables that store object data and methods that define object behaviors. Objects are declared by specifying the class name and are initialized using the new operator, which allocates memory and invokes the class constructor.
Sorting Order and Stability in Sorting.
Concept of Internal and External Sorting.
Bubble Sort,
Insertion Sort,
Selection Sort,
Quick Sort and
Merge Sort,
Radix Sort, and
Shell Sort,
External Sorting, Time complexity analysis of Sorting Algorithms.
This document provides an introduction to object-oriented programming concepts. It defines object-oriented programming as a way to conceptualize a program as interacting objects. Key concepts discussed include:
- Classes define templates for objects and their properties and behaviors.
- Objects are instantiated from classes and represent specific instances.
- Inheritance allows new classes to inherit properties from parent classes.
- Encapsulation groups related properties and methods together within objects.
- Polymorphism allows methods to perform different actions depending on an object's properties.
This document discusses classes and objects in Java. It explains that classes are composite data types that can contain variables of different primitive data types. Wrapper classes are described as classes that wrap primitive data types in objects. The Integer wrapper class is discussed in detail, including how to instantiate Integer objects, common methods like parseInt() and toString(), and examples of converting between Strings and int primitives.
This document discusses classes and objects in Java. It explains that classes are composite data types that can contain variables of different primitive data types. A class acts as a blueprint for creating objects. The new keyword is used to instantiate objects from classes. Wrapper classes are also discussed, which allow primitive data types like int and double to be used as objects. Specific methods of the Integer wrapper class are provided as examples.
Python is an object-oriented programming language. This means that almost all the code is implemented using a special construct called classes.
Python offers classes, which are a effective tool for writing reusable code. To describe objects with shared characteristics and behaviors, classes are utilized.
This presentation provides an overview of object-oriented programming (OOP) concepts including:
- Encapsulation which hides unnecessary implementation details from users.
- Association which represents relationships between objects that have independent lifecycles.
- Inheritance which enables new objects to take on properties of existing objects.
- Polymorphism which allows objects to take different forms through method overloading and overriding.
- Exception handling which provides control transfer when exceptions occur using try, catch, throw, and finally.
- Abstract classes and interfaces which define behaviors without providing implementation.
OOP provides advantages like simplicity, modularity, extensibility, maintainability, and reusability.
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.
This document provides an introduction to object-oriented programming (OOP) concepts. It defines OOP as a design philosophy that groups everything as self-sustainable objects. The key OOP concepts discussed are objects, classes, encapsulation, abstraction, inheritance, polymorphism, method overloading, method overriding, and access modifiers. Objects are instances of classes that can perform related activities, while classes are blueprints that describe objects. Encapsulation hides implementation details within classes, and abstraction focuses on what objects are rather than how they are implemented.
This document provides an overview of object-oriented programming (OOP) concepts. It defines OOP as an approach for building software systems using classes, objects, and inheritance. Key concepts discussed include: classes define properties and behaviors of objects; objects communicate through message passing; inheritance allows classes to extend and specialize other classes; abstraction manages complexity through relevant interfaces; and polymorphism allows classes to take multiple forms. The benefits of interfaces and polymorphism for code reuse and managing different related types are also highlighted.
Beginners Guide to Object Orientation in PHPRick Ogden
The document provides an introduction to object oriented programming in PHP, explaining key concepts like classes, objects, properties, methods, encapsulation, and inheritance. It uses examples like a social networking profile class to demonstrate how to create classes with properties and methods, instantiate objects, and extend classes through inheritance. The document also discusses benefits and drawbacks of the object oriented approach.
This document provides an overview of object-oriented programming (OOP) concepts including objects, classes, encapsulation, inheritance, polymorphism, and abstraction. It explains that OOP allows decomposition of programs into objects that contain both data and functions. Classes act as blueprints for objects and define their properties and behaviors.
This document provides an introduction to object-oriented programming (OOP) concepts. It discusses procedural programming and its limitations. OOP aims to overcome these limitations through concepts like encapsulation, inheritance, polymorphism, and abstraction. Encapsulation binds data and functions together in classes. Inheritance allows deriving new classes from existing classes. Polymorphism allows the same action to be performed in different ways. Abstraction describes things at a conceptual level. Examples are provided to illustrate these core OOP concepts. The next lecture will cover implementing OOP in C# and building a game with Unity 3D.
Classes in Java represent templates for objects that share common properties and behaviors. A class defines the blueprint for objects, but does not use memory itself. Objects are instances of classes that represent real-world entities. For example, Dog is a class while Tommy is an object of the Dog class. Classes contain variables that store object data and methods that define object behaviors. Objects are declared by specifying the class name and are initialized using the new operator, which allocates memory and invokes the class constructor.
Sorting Order and Stability in Sorting.
Concept of Internal and External Sorting.
Bubble Sort,
Insertion Sort,
Selection Sort,
Quick Sort and
Merge Sort,
Radix Sort, and
Shell Sort,
External Sorting, Time complexity analysis of Sorting Algorithms.
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptxRishavKumar530754
LiDAR-Based System for Autonomous Cars
Autonomous Driving with LiDAR Tech
LiDAR Integration in Self-Driving Cars
Self-Driving Vehicles Using LiDAR
LiDAR Mapping for Driverless Cars
its all about Artificial Intelligence(Ai) and Machine Learning and not on advanced level you can study before the exam or can check for some information on Ai for project
Fluid mechanics is the branch of physics concerned with the mechanics of fluids (liquids, gases, and plasmas) and the forces on them. Originally applied to water (hydromechanics), it found applications in a wide range of disciplines, including mechanical, aerospace, civil, chemical, and biomedical engineering, as well as geophysics, oceanography, meteorology, astrophysics, and biology.
It can be divided into fluid statics, the study of various fluids at rest, and fluid dynamics.
Fluid statics, also known as hydrostatics, is the study of fluids at rest, specifically when there's no relative motion between fluid particles. It focuses on the conditions under which fluids are in stable equilibrium and doesn't involve fluid motion.
Fluid kinematics is the branch of fluid mechanics that focuses on describing and analyzing the motion of fluids, such as liquids and gases, without considering the forces that cause the motion. It deals with the geometrical and temporal aspects of fluid flow, including velocity and acceleration. Fluid dynamics, on the other hand, considers the forces acting on the fluid.
Fluid dynamics is the study of the effect of forces on fluid motion. It is a branch of continuum mechanics, a subject which models matter without using the information that it is made out of atoms; that is, it models matter from a macroscopic viewpoint rather than from microscopic.
Fluid mechanics, especially fluid dynamics, is an active field of research, typically mathematically complex. Many problems are partly or wholly unsolved and are best addressed by numerical methods, typically using computers. A modern discipline, called computational fluid dynamics (CFD), is devoted to this approach. Particle image velocimetry, an experimental method for visualizing and analyzing fluid flow, also takes advantage of the highly visual nature of fluid flow.
Fundamentally, every fluid mechanical system is assumed to obey the basic laws :
Conservation of mass
Conservation of energy
Conservation of momentum
The continuum assumption
For example, the assumption that mass is conserved means that for any fixed control volume (for example, a spherical volume)—enclosed by a control surface—the rate of change of the mass contained in that volume is equal to the rate at which mass is passing through the surface from outside to inside, minus the rate at which mass is passing from inside to outside. This can be expressed as an equation in integral form over the control volume.
The continuum assumption is an idealization of continuum mechanics under which fluids can be treated as continuous, even though, on a microscopic scale, they are composed of molecules. Under the continuum assumption, macroscopic (observed/measurable) properties such as density, pressure, temperature, and bulk velocity are taken to be well-defined at "infinitesimal" volume elements—small in comparison to the characteristic length scale of the system, but large in comparison to molecular length scale
Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
This paper proposes a shoulder inverse kinematics (IK) technique. Shoulder complex is comprised of the sternum, clavicle, ribs, scapula, humerus, and four joints.
ELectronics Boards & Product Testing_Shiju.pdfShiju Jacob
This presentation provides a high level insight about DFT analysis and test coverage calculation, finalizing test strategy, and types of tests at different levels of the product.
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
☁️ GDG Cloud Munich: Build With AI Workshop - Introduction to Vertex AI! ☁️
Join us for an exciting #BuildWithAi workshop on the 28th of April, 2025 at the Google Office in Munich!
Dive into the world of AI with our "Introduction to Vertex AI" session, presented by Google Cloud expert Randy Gupta.
The Fluke 925 is a vane anemometer, a handheld device designed to measure wind speed, air flow (volume), and temperature. It features a separate sensor and display unit, allowing greater flexibility and ease of use in tight or hard-to-reach spaces. The Fluke 925 is particularly suitable for HVAC (heating, ventilation, and air conditioning) maintenance in both residential and commercial buildings, offering a durable and cost-effective solution for routine airflow diagnostics.
2. Topics
• Why do we need classes?
• Defining Classes
• Defining Objects
• Class variables vs Instance variables
• Methods
• Inheritance
• Polymorphism
3. Why do we need classes?
• Which field contains what type of information?
client = [“xxxxxxxxxxxxxxx",
“0000000000",
“xxxxxxxxx",
0]
The parts of a composite list can
be accessed via [index] but they
cannot be labeled (what do these
fields store?)
This isn’t immediately clear from looking at the program statements.
4. Object-Oriented Programming
You have learned structured programming
Breaking tasks into subtasks
Writing re-usable methods to handle tasks
We will now study Objects and Classes
To build larger and more complex programs
To model objects we use in the world
A class describes objects with the same
behavior. For example, a Car class
describes all passenger vehicles that have
a certain capacity and shape.
5. A class
class
In OOP a class is the definition of an object.
In Python we define classes.
You can consider a class as a blueprint of an object
Using a class you instantiate objects
These objects belong to the same class and therefore they contain the same
characteristics specified in the class
instances
objects
7. Diagram of a Class
Private Data
We assume each object has its own private data that other objects cannot
directly access
Methods of the public interface provide access to private data, while
hiding implementation details:
This is called Encapsulation (Python has a loose definition of this)
Public Interface
Each object has a set of methods available for other objects to use
Class
Private Data
(Variables/Attributes)
Public Interface
(Methods)
Variables “must”
be private
Methods must be
public
By the way, this is a class diagram
8. Let’s go to Google Colab
• Topics:
• Classes
• Writing classes in Python
• Class variables
• Class constructor
• Instance variables
• Instance methods
• Combining Class variables and Instance variables
• Class inheritance and Polymorphism
• Inheritance
• Polymorphism
9. Importing your classes as modules
• To use any package in your code, you must first make it accessible.
• You need to tell python to first import a module in your code so that
you can use it.
• If you have your own python files you want to import, you can use the
import statement as follows:
import my_file # assuming you have the file, my_file.py in the current directory.
# For files in other directories, provide path to that file, absolute or relative.
11. Importing our Python class
The file where we
want to use the Class
The output if we run
the main.py
Something is NOT right.
12. __name__ == “__main__”
Magic method that allows or prevents parts of code
from being run when the modules are imported
When the Python interpreter reads a file, the __name__
variable is set as __main__ if the module being run, or as
the module's name if it is imported.
13. Importing our Python class
Now, the code in client.py that is not part of the class is not executed.
#4: It is difficult to understand and update a program that consists of a large collection of methods.
To overcome this problem, computer scientists invented object-oriented programming, tasks are solved by collaborating objects
When you develop an object-oriented program, you create your own objects that describe what is important in your application.
#14: If you only use “import Client”, you are importing EVERYTHING from that file.
Therefore, you need to specify what classes or methods you want to use. For example, Client.Client()