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
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.
Chap 3 Python Object Oriented Programming - Copy.pptmuneshwarbisen1
The document discusses object oriented programming concepts in Python including classes, objects, instances, methods, inheritance, and class attributes. It provides examples of defining classes, instantiating objects, using methods, and the difference between class and instance attributes. Key concepts covered include defining classes with the class keyword, creating object instances, using the __init__() method for initialization, and allowing derived classes to inherit from base classes.
- Object-oriented programming (OOP) refers to the creation of reusable software objects/classes that can be efficiently developed and incorporated into multiple programs. An OOP program consists of interacting objects that solve a task.
- Classes define objects of the same type through data members (properties) and methods. Objects are instances of classes that can inherit properties and behaviors from parent classes.
- OOP principles like encapsulation, inheritance, and polymorphism help manage complexity through modularization and reuse when building large PHP programs.
The document discusses polymorphism and overloading in Python. Polymorphism means having many forms and allows the same method to behave differently depending on the object that calls it. Overloading refers to using the same name for functions or operators but with different signatures. The key points are:
1. Polymorphism is demonstrated through method overriding where subclasses have different implementations of the same method.
2. Operator overloading allows operators like + and * to work on custom classes by defining magic methods like __add__ and __mul__.
3. Method overloading is not supported in Python but can be simulated with default arguments or variable number of arguments.
4. Constructor overloading is also not supported
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on Python Functions tutorial covers all the important aspects of functions in Python right from the introduction to what functions are, all the way till checking out the major functions and using the code-first approach to understand them better.
Agenda
Why use Functions?
What are the Functions?
Types of Python Functions
Built-in Functions in Python
User-defined Functions in Python
Python Lambda Function
Conclusion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
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OOPS in java | Super and this Keyword | Memory Management in java | pacakages...Sagar Verma
OOPS and its application in Java, Super class AND This Keyword,Java Bean, POJO ,Memory management in Java ,Packages ,Miscellaneous (Var-Args, toString(), Double equals operator(==))
Object oriented programming involves modeling real-world entities as objects that encapsulate both data and behavior. Programmers define classes that specify the attributes and methods of these objects. This is a different approach than traditional procedural programming, as it focuses on objects rather than functions.
Object oriented programming involves modeling real-world entities as objects that encapsulate both data and behavior. Programmers define classes that specify the attributes and methods of these objects. This is a different approach than traditional procedural programming, as it focuses on objects rather than functions.
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.
Chap 3 Python Object Oriented Programming - Copy.pptmuneshwarbisen1
The document discusses object oriented programming concepts in Python including classes, objects, instances, methods, inheritance, and class attributes. It provides examples of defining classes, instantiating objects, using methods, and the difference between class and instance attributes. Key concepts covered include defining classes with the class keyword, creating object instances, using the __init__() method for initialization, and allowing derived classes to inherit from base classes.
- Object-oriented programming (OOP) refers to the creation of reusable software objects/classes that can be efficiently developed and incorporated into multiple programs. An OOP program consists of interacting objects that solve a task.
- Classes define objects of the same type through data members (properties) and methods. Objects are instances of classes that can inherit properties and behaviors from parent classes.
- OOP principles like encapsulation, inheritance, and polymorphism help manage complexity through modularization and reuse when building large PHP programs.
The document discusses polymorphism and overloading in Python. Polymorphism means having many forms and allows the same method to behave differently depending on the object that calls it. Overloading refers to using the same name for functions or operators but with different signatures. The key points are:
1. Polymorphism is demonstrated through method overriding where subclasses have different implementations of the same method.
2. Operator overloading allows operators like + and * to work on custom classes by defining magic methods like __add__ and __mul__.
3. Method overloading is not supported in Python but can be simulated with default arguments or variable number of arguments.
4. Constructor overloading is also not supported
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on Python Functions tutorial covers all the important aspects of functions in Python right from the introduction to what functions are, all the way till checking out the major functions and using the code-first approach to understand them better.
Agenda
Why use Functions?
What are the Functions?
Types of Python Functions
Built-in Functions in Python
User-defined Functions in Python
Python Lambda Function
Conclusion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
OOPS in java | Super and this Keyword | Memory Management in java | pacakages...Sagar Verma
OOPS and its application in Java, Super class AND This Keyword,Java Bean, POJO ,Memory management in Java ,Packages ,Miscellaneous (Var-Args, toString(), Double equals operator(==))
Object oriented programming involves modeling real-world entities as objects that encapsulate both data and behavior. Programmers define classes that specify the attributes and methods of these objects. This is a different approach than traditional procedural programming, as it focuses on objects rather than functions.
Object oriented programming involves modeling real-world entities as objects that encapsulate both data and behavior. Programmers define classes that specify the attributes and methods of these objects. This is a different approach than traditional procedural programming, as it focuses on objects rather than functions.
This document discusses object-oriented programming concepts in Objective-C such as classes, inheritance, polymorphism, and exceptions. It covers creating interface and implementation files, using properties and methods, inheritance hierarchies with subclasses, overriding methods, abstract classes, polymorphism through dynamic binding, and exceptions. Key topics include creating .h and .m files to define a class, using self to reference the current object, returning objects from methods, and extending classes through inheritance while allowing method overriding.
This document discusses using Python for web development. Some key points:
- Python is a flexible, open source language that is well-suited for web projects due to its extensive standard library, third-party modules, and large developer community.
- Python code tends to be more readable and maintainable than other languages like Java or PHP due to Python's simplicity, readability-focused syntax, and support for functional programming patterns.
- Python web frameworks provide batteries included functionality like template engines, object relational mappers, caching, and asynchronous request handling that speed up development.
- Python's extensive standard library and ecosystem of third-party modules provide solutions for common tasks like localization, testing, debugging
Operator overloading allows operators like +, -, *, etc. to be used with user-defined types by defining specific method implementations. It enables operations on user-defined classes to behave similarly to built-in types. The document provides examples of overloading unary and binary operators in C# classes to change the sign of a number and add two calculator objects respectively. It also discusses the different operators that can and cannot be overloaded and how to define the operator overloading methods with the correct return types and parameters.
Abstract: This PDSG workshop covers the basics of OOP programming in Python. Concepts covered are class, object, scope, method overloading and inheritance.
Level: Fundamental
Requirements: One should have some knowledge of programming.
Kenneth Geisshirt gave a presentation on extending Node.js using C++. He covered why to write extensions in C++, demo C++ classes, building extensions, wrapping classes, methods, callbacks, exceptions, and more. The goal was to learn the basics of V8 internals, wrapping C++ classes, and writing an extension.
Hlutbundin forritun er öflug leið til að búa til hugbúnað. Hins vegar er auðvelt að gleyma eiginleikum hlutbundinna mála. Í þessum fyrri hluta um þetta efni munum við rifja upp hugtök eins og encapsulation, skil og polymorphma. Við munum líka skoða nokkur prinsipp eins og Separtaion of Concern (SoC).
Í þessu fyrirlestri mun ég upplýsa leyndarmál sem aðeins góðir forritarar vita.
Function overloading allows functions to have the same name but different parameters. It is useful for functions that perform similar tasks like abs(), labs(), and fabs() for returning absolute values of different data types. To overload a function, its parameters must differ in type, number, or both. Ambiguous function calls cannot be resolved and will cause errors. Common uses of overloading include constructors, copy constructors, operators like + and –, and special functions like [] and ().
This document provides an overview of object-oriented programming concepts in Java including classes, objects, attributes, and methods. It discusses how classes define templates for objects and how objects are instances of classes. Examples are given of declaring a class for a car with attributes like make and speed, and methods like accelerate and turn. The document also covers creating objects from classes in code, and accessing object attributes and methods. Finally, it briefly introduces some standard Java classes like Math that are commonly used.
The document discusses constructors in Java. It defines constructors as special methods that initialize objects. Constructors are invoked during object creation and provide initial values for object fields. The document covers default constructors that provide default values if no constructor is defined, parameterized constructors that initialize fields with passed in values, and constructor overloading which allows multiple constructors with different parameters. It provides examples of each type of constructor.
Python Advanced – Building on the foundationKevlin Henney
This is a two-day course in Python programming aimed at professional programmers. The course material provided here is intended to be used by teachers of the language, but individual learners might find some of this useful as well.
The course assume the students already know Python, to the level taught in the Python Foundation course: http://www.slideshare.net/Kevlin/python-foundation-a-programmers-introduction-to-python-concepts-style)
The course is released under Creative Commons Attribution 4.0. Its primary location (along with the original PowerPoint) is at https://github.com/JonJagger/two-day-courses/tree/master/pa
This document provides an introduction to object-oriented programming concepts in Java. It discusses similarities and differences between Java and C++, object-oriented nomenclature, instance variables, methods, and constructors. Instance variables are fields that belong to objects of a class. Methods are functions defined within classes that can access and modify instance variables. Constructors initialize new objects and are called when objects are created using the new operator. The document provides examples to illustrate these concepts and highlights key differences between Java and C++ regarding object-oriented programming.
Operator overloading allows user-defined types in C++ to behave similarly to built-in types when operators are used on them. It allows operators to have special meanings depending on the context. Some key points made in the document include:
- Operator overloading enhances the extensibility of C++ by allowing user-defined types to work with operators like addition, subtraction, etc.
- Common operators that can be overloaded include arithmetic operators, increment/decrement, input/output, function call, and subscript operators.
- To overload an operator, a member or friend function is declared with the same name as the operator being overloaded. This function performs the desired operation on the class type.
-
I am Irene M. I am a C++ Homework Expert at cpphomeworkhelp.com. I hold a Masters in Programming from from California, USA. I have been helping students with their homework for the past 10 years. I solve homework related to C++.
Visit cpphomeworkhelp.com or email info@cpphomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with C++ Homework.
The document discusses various topics in Objective-C including variables, data types, categories, protocols, and composite objects. It provides code examples to illustrate initializing objects, variable scope, enumerated data types, typedefs, data type conversion, categories, class extensions, protocols, delegates, and composite objects in Objective-C and compares some of these concepts to Java.
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.
This document provides an overview of object-oriented programming (OOP) concepts in C#, including classes, objects, inheritance, encapsulation, and polymorphism. It defines key terms like class and object, and explains how C# supports OOP principles such as defining classes with methods and properties, extending classes through inheritance, hiding implementation through encapsulation, and allowing polymorphic behavior through function overloading and overriding. Abstract classes and sealed modifiers are also covered. The document is intended to help explain basic OOP concepts in C# to readers.
The document discusses constructors, destructors, copy constructors and operator overloading in C++ classes. It provides examples of:
1) Defining a constructor for the rectangle class that initializes its data members.
2) Calling the constructor when creating new rectangle objects.
3) Defining a destructor for the string class that deletes the dynamically allocated string member.
4) Defining a copy constructor for the string class that makes a deep copy of the string member.
5) Overloading operators like << and >> as non-member functions to allow I/O for user-defined classes.
This document discusses classes and objects in Python. It defines what a class and object are, how to create classes and objects in Python, and provides an example Employee class with two employee objects. A class defines the blueprint for an object, containing attributes and methods. An object is an instance of a class. To create a class in Python, the class keyword is used followed by the class name and contents in a suite. Objects are created by calling the class and passing arguments to its __init__ method. Methods can then be accessed using dot notation on the object.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
This document discusses object-oriented programming concepts in Objective-C such as classes, inheritance, polymorphism, and exceptions. It covers creating interface and implementation files, using properties and methods, inheritance hierarchies with subclasses, overriding methods, abstract classes, polymorphism through dynamic binding, and exceptions. Key topics include creating .h and .m files to define a class, using self to reference the current object, returning objects from methods, and extending classes through inheritance while allowing method overriding.
This document discusses using Python for web development. Some key points:
- Python is a flexible, open source language that is well-suited for web projects due to its extensive standard library, third-party modules, and large developer community.
- Python code tends to be more readable and maintainable than other languages like Java or PHP due to Python's simplicity, readability-focused syntax, and support for functional programming patterns.
- Python web frameworks provide batteries included functionality like template engines, object relational mappers, caching, and asynchronous request handling that speed up development.
- Python's extensive standard library and ecosystem of third-party modules provide solutions for common tasks like localization, testing, debugging
Operator overloading allows operators like +, -, *, etc. to be used with user-defined types by defining specific method implementations. It enables operations on user-defined classes to behave similarly to built-in types. The document provides examples of overloading unary and binary operators in C# classes to change the sign of a number and add two calculator objects respectively. It also discusses the different operators that can and cannot be overloaded and how to define the operator overloading methods with the correct return types and parameters.
Abstract: This PDSG workshop covers the basics of OOP programming in Python. Concepts covered are class, object, scope, method overloading and inheritance.
Level: Fundamental
Requirements: One should have some knowledge of programming.
Kenneth Geisshirt gave a presentation on extending Node.js using C++. He covered why to write extensions in C++, demo C++ classes, building extensions, wrapping classes, methods, callbacks, exceptions, and more. The goal was to learn the basics of V8 internals, wrapping C++ classes, and writing an extension.
Hlutbundin forritun er öflug leið til að búa til hugbúnað. Hins vegar er auðvelt að gleyma eiginleikum hlutbundinna mála. Í þessum fyrri hluta um þetta efni munum við rifja upp hugtök eins og encapsulation, skil og polymorphma. Við munum líka skoða nokkur prinsipp eins og Separtaion of Concern (SoC).
Í þessu fyrirlestri mun ég upplýsa leyndarmál sem aðeins góðir forritarar vita.
Function overloading allows functions to have the same name but different parameters. It is useful for functions that perform similar tasks like abs(), labs(), and fabs() for returning absolute values of different data types. To overload a function, its parameters must differ in type, number, or both. Ambiguous function calls cannot be resolved and will cause errors. Common uses of overloading include constructors, copy constructors, operators like + and –, and special functions like [] and ().
This document provides an overview of object-oriented programming concepts in Java including classes, objects, attributes, and methods. It discusses how classes define templates for objects and how objects are instances of classes. Examples are given of declaring a class for a car with attributes like make and speed, and methods like accelerate and turn. The document also covers creating objects from classes in code, and accessing object attributes and methods. Finally, it briefly introduces some standard Java classes like Math that are commonly used.
The document discusses constructors in Java. It defines constructors as special methods that initialize objects. Constructors are invoked during object creation and provide initial values for object fields. The document covers default constructors that provide default values if no constructor is defined, parameterized constructors that initialize fields with passed in values, and constructor overloading which allows multiple constructors with different parameters. It provides examples of each type of constructor.
Python Advanced – Building on the foundationKevlin Henney
This is a two-day course in Python programming aimed at professional programmers. The course material provided here is intended to be used by teachers of the language, but individual learners might find some of this useful as well.
The course assume the students already know Python, to the level taught in the Python Foundation course: http://www.slideshare.net/Kevlin/python-foundation-a-programmers-introduction-to-python-concepts-style)
The course is released under Creative Commons Attribution 4.0. Its primary location (along with the original PowerPoint) is at https://github.com/JonJagger/two-day-courses/tree/master/pa
This document provides an introduction to object-oriented programming concepts in Java. It discusses similarities and differences between Java and C++, object-oriented nomenclature, instance variables, methods, and constructors. Instance variables are fields that belong to objects of a class. Methods are functions defined within classes that can access and modify instance variables. Constructors initialize new objects and are called when objects are created using the new operator. The document provides examples to illustrate these concepts and highlights key differences between Java and C++ regarding object-oriented programming.
Operator overloading allows user-defined types in C++ to behave similarly to built-in types when operators are used on them. It allows operators to have special meanings depending on the context. Some key points made in the document include:
- Operator overloading enhances the extensibility of C++ by allowing user-defined types to work with operators like addition, subtraction, etc.
- Common operators that can be overloaded include arithmetic operators, increment/decrement, input/output, function call, and subscript operators.
- To overload an operator, a member or friend function is declared with the same name as the operator being overloaded. This function performs the desired operation on the class type.
-
I am Irene M. I am a C++ Homework Expert at cpphomeworkhelp.com. I hold a Masters in Programming from from California, USA. I have been helping students with their homework for the past 10 years. I solve homework related to C++.
Visit cpphomeworkhelp.com or email info@cpphomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with C++ Homework.
The document discusses various topics in Objective-C including variables, data types, categories, protocols, and composite objects. It provides code examples to illustrate initializing objects, variable scope, enumerated data types, typedefs, data type conversion, categories, class extensions, protocols, delegates, and composite objects in Objective-C and compares some of these concepts to Java.
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.
This document provides an overview of object-oriented programming (OOP) concepts in C#, including classes, objects, inheritance, encapsulation, and polymorphism. It defines key terms like class and object, and explains how C# supports OOP principles such as defining classes with methods and properties, extending classes through inheritance, hiding implementation through encapsulation, and allowing polymorphic behavior through function overloading and overriding. Abstract classes and sealed modifiers are also covered. The document is intended to help explain basic OOP concepts in C# to readers.
The document discusses constructors, destructors, copy constructors and operator overloading in C++ classes. It provides examples of:
1) Defining a constructor for the rectangle class that initializes its data members.
2) Calling the constructor when creating new rectangle objects.
3) Defining a destructor for the string class that deletes the dynamically allocated string member.
4) Defining a copy constructor for the string class that makes a deep copy of the string member.
5) Overloading operators like << and >> as non-member functions to allow I/O for user-defined classes.
This document discusses classes and objects in Python. It defines what a class and object are, how to create classes and objects in Python, and provides an example Employee class with two employee objects. A class defines the blueprint for an object, containing attributes and methods. An object is an instance of a class. To create a class in Python, the class keyword is used followed by the class name and contents in a suite. Objects are created by calling the class and passing arguments to its __init__ method. Methods can then be accessed using dot notation on the object.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
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Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
1. Unit 8
Classes and Objects; Inheritance
Special thanks to Roy McElmurry, John Kurkowski, Scott Shawcroft, Ryan Tucker, Paul Beck for their work.
Except where otherwise noted, this work is licensed under:
http://creativecommons.org/licenses/by-nc-sa/3.0
2. 2
OOP, Defining a Class
• Python was built as a procedural language
– OOP exists and works fine, but feels a bit more "tacked on"
– Java probably does classes better than Python (gasp)
• Declaring a class:
class name:
statements
3. 3
Fields
name = value
– Example:
class Point:
x = 0
y = 0
# main
p1 = Point()
p1.x = 2
p1.y = -5
– can be declared directly inside class (as shown here)
or in constructors (more common)
– Python does not really have encapsulation or private fields
• relies on caller to "be nice" and not mess with objects' contents
point.py
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class Point:
x = 0
y = 0
4. 4
Using a Class
import class
– client programs must import the classes they use
point_main.py
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from Point import *
# main
p1 = Point()
p1.x = 7
p1.y = -3
...
# Python objects are dynamic (can add fields any time!)
p1.name = "Tyler Durden"
5. 5
Object Methods
def name(self, parameter, ..., parameter):
statements
– self must be the first parameter to any object method
• represents the "implicit parameter" (this in Java)
– must access the object's fields through the self reference
class Point:
def translate(self, dx, dy):
self.x += dx
self.y += dy
...
6. 6
"Implicit" Parameter (self)
• Java: this, implicit
public void translate(int dx, int dy) {
x += dx; // this.x += dx;
y += dy; // this.y += dy;
}
• Python: self, explicit
def translate(self, dx, dy):
self.x += dx
self.y += dy
– Exercise: Write distance, set_location, and
distance_from_origin methods.
7. 7
Exercise Answer
point.py
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from math import *
class Point:
x = 0
y = 0
def set_location(self, x, y):
self.x = x
self.y = y
def distance_from_origin(self):
return sqrt(self.x * self.x + self.y * self.y)
def distance(self, other):
dx = self.x - other.x
dy = self.y - other.y
return sqrt(dx * dx + dy * dy)
8. 8
Calling Methods
• A client can call the methods of an object in two ways:
– (the value of self can be an implicit or explicit parameter)
1) object.method(parameters)
or
2) Class.method(object, parameters)
• Example:
p = Point(3, -4)
p.translate(1, 5)
Point.translate(p, 1, 5)
9. 9
Constructors
def __init__(self, parameter, ..., parameter):
statements
– a constructor is a special method with the name __init__
– Example:
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
...
• How would we make it possible to construct a
Point() with no parameters to get (0, 0)?
10. 10
toString and __str__
def __str__(self):
return string
– equivalent to Java's toString (converts object to a string)
– invoked automatically when str or print is called
Exercise: Write a __str__ method for Point objects that
returns strings like "(3, -14)"
def __str__(self):
return "(" + str(self.x) + ", " + str(self.y) + ")"
11. 11
Complete Point Class
point.py
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from math import *
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
def distance_from_origin(self):
return sqrt(self.x * self.x + self.y * self.y)
def distance(self, other):
dx = self.x - other.x
dy = self.y - other.y
return sqrt(dx * dx + dy * dy)
def translate(self, dx, dy):
self.x += dx
self.y += dy
def __str__(self):
return "(" + str(self.x) + ", " + str(self.y) + ")"
12. 12
Operator Overloading
• operator overloading: You can define functions so that
Python's built-in operators can be used with your class.
• See also: http://docs.python.org/ref/customization.html
Operator Class Method
- __neg__(self, other)
+ __pos__(self, other)
* __mul__(self, other)
/ __truediv__(self, other)
Unary Operators
- __neg__(self)
+ __pos__(self)
Operator Class Method
== __eq__(self, other)
!= __ne__(self, other)
< __lt__(self, other)
> __gt__(self, other)
<= __le__(self, other)
>= __ge__(self, other)
13. 13
Exercise
• Exercise: Write a Fraction class to represent rational
numbers like 1/2 and -3/8.
• Fractions should always be stored in reduced form; for
example, store 4/12 as 1/3 and 6/-9 as -2/3.
– Hint: A GCD (greatest common divisor) function may help.
• Define add and multiply methods that accept another
Fraction as a parameter and modify the existing
Fraction by adding/multiplying it by that parameter.
• Define +, *, ==, and < operators.
14. 14
Generating Exceptions
raise ExceptionType("message")
– useful when the client uses your object improperly
– types: ArithmeticError, AssertionError, IndexError,
NameError, SyntaxError, TypeError, ValueError
– Example:
class BankAccount:
...
def deposit(self, amount):
if amount < 0:
raise ValueError("negative amount")
...
15. 15
Inheritance
class name(superclass):
statements
– Example:
class Point3D(Point): # Point3D extends Point
z = 0
...
• Python also supports multiple inheritance
class name(superclass, ..., superclass):
statements
(if > 1 superclass has the same field/method, conflicts are resolved in left-to-right order)
16. 16
Calling Superclass Methods
• methods: class.method(object, parameters)
• constructors: class.__init__(parameters)
class Point3D(Point):
z = 0
def __init__(self, x, y, z):
Point.__init__(self, x, y)
self.z = z
def translate(self, dx, dy, dz):
Point.translate(self, dx, dy)
self.z += dz