#Software Design Patterns

[technicalfika]

Event-Driven Design Demystified: Concepts and Examples

🚀 Discover how this cutting-edge architecture transforms software systems with real-world examples. From e-commerce efficiency to smart home automation, learn how to create responsive and scalable applications #EventDrivenDesign #SoftwareArchitecture

In the world of software architecture, event-driven design has emerged as a powerful paradigm that allows systems to react and respond to events in a flexible and efficient manner. Whether you’re building applications, microservices, or even IoT devices, understanding event-driven design can lead to more scalable, responsive, and adaptable systems. In this article, we’ll delve into the core…

[codeonedigest]

Micro Frontend Design Pattern for Microservices Explained with Examples ... Full Video Link     https://youtu.be/VGD7ThzZ3qUHello friends, new #video on #microfrontend #designpattern for #microservices #tutorial for #api #developer #programmers with #examples are published on #codeonedigest #youtube channel.  @java #java #aws #awscloud @awscloud @AWSCloudIndia #salesforce #Cloud #CloudComputing @YouTube #youtube #azure #msazure #codeonedigest @codeonedigest    #programming #microfrontends #webdevelopment #howtolearnprogramming #coding #howtolearnprogrammingforbeginners #microfrontend #microfrontendarchitecture #microfrontendangular #microfrontendarchitecturereact #microfrontendarchitectureexample #microfrontendarchitectureangularexample #microfrontendpresentation #microfrontendproject #microfrontendprosandcons #microfrontendppt #microfrontendexample #microfrontendexplained #microfrontendtutorial

[garadinervi]

Cynthia Schira, Panel Entitled "ABC Drawn Quilt", (cotton and linen, areas of warp-float faced 7:1 satin weave; warp and weft-float faced 7:1 twill weaves; diamond and point twills; combined twill; and plain weaves with areas of paired warps or wefts and plain weaves self-patterned by main warp and ground weft floats; woven on TIS Jacquard handloom with Jacquard Computer Aided Design), 1998 [The Art Institute of Chicago, Chicago, IL. © Cynthia Schira]

[agatedragongames]

Coding tutorial: Chain-of-responsibility pattern

A peasant, knight and king walk into a software design tutorial, and are here to teach you the chain-of-responsibility pattern. Learn how to create a chain of handlers which can handle different request types.

This tutorial shows you how to code the chain-of-responsibility pattern in the Visual Studio development environment, using a console application and the C++ programming language.

The chain-of-responsibility pattern passes on a request to a chain of handlers one at a time. Each handler can handle different requests. So if the first handler can’t handle the request, then it will pass it on to the next handler. Once a request is handled, the chain ends. Since there is no longer a need to pass on the request.

It is also possible that the request doesn’t get handled by any of the handlers. Since each handler can handle 0, 1 or many requests of different types.

See the full tutorial here.

Console output:

[la-principessa-nuova]

40 for the ask game

40. what’s the most interesting item you own?

hmmmmmmmm……

Ooh! Not sure if this is a good answer, but in college when I bought the cheapest used copy of the famous Go4 Design Patterns textbook I could find, I was surprised to find that it had been signed by 3 of the 4 authors!

just needs Erich Gamma to complete the set!

full list for those who want to play

[watchmorecinema]

Normally I just post about movies but I'm a software engineer by trade so I've got opinions on programming too.

Apparently it's a month of code or something because my dash is filled with people trying to learn Python. And that's great, because Python is a good language with a lot of support and job opportunities. I've just got some scattered thoughts that I thought I'd write down.

Python abstracts a number of useful concepts. It makes it easier to use, but it also means that if you don't understand the concepts then things might go wrong in ways you didn't expect. Memory management and pointer logic is so damn annoying, but you need to understand them. I learned these concepts by learning C++, hopefully there's an easier way these days.

Data structures and algorithms are the bread and butter of any real work (and they're pretty much all that come up in interviews) and they're language agnostic. If you don't know how to traverse a linked list, how to use recursion, what a hash map is for, etc. then you don't really know how to program. You'll pretty much never need to implement any of them from scratch, but you should know when to use them; think of them like building blocks in a Lego set.

Learning a new language is a hell of a lot easier after your first one. Going from Python to Java is mostly just syntax differences. Even "harder" languages like C++ mostly just mean more boilerplate while doing the same things. Learning a new spoken language in is hard, but learning a new programming language is generally closer to learning some new slang or a new accent. Lists in Python are called Vectors in C++, just like how french fries are called chips in London. If you know all the underlying concepts that are common to most programming languages then it's not a huge jump to a new one, at least if you're only doing all the most common stuff. (You will get tripped up by some of the minor differences though. Popping an item off of a stack in Python returns the element, but in Java it returns nothing. You have to read it with Top first. Definitely had a program fail due to that issue).

The above is not true for new paradigms. Python, C++ and Java are all iterative languages. You move to something functional like Haskell and you need a completely different way of thinking. Javascript (not in any way related to Java) has callbacks and I still don't quite have a good handle on them. Hardware languages like VHDL are all synchronous; every line of code in a program runs at the same time! That's a new way of thinking.

Python is stereotyped as a scripting language good only for glue programming or prototypes. It's excellent at those, but I've worked at a number of (successful) startups that all were Python on the backend. Python is robust enough and fast enough to be used for basically anything at this point, except maybe for embedded programming. If you do need the fastest speed possible then you can still drop in some raw C++ for the places you need it (one place I worked at had one very important piece of code in C++ because even milliseconds mattered there, but everything else was Python). The speed differences between Python and C++ are so much smaller these days that you only need them at the scale of the really big companies. It makes sense for Google to use C++ (and they use their own version of it to boot), but any company with less than 100 engineers is probably better off with Python in almost all cases. Honestly thought the best programming language is the one you like, and the one that you're good at.

Design patterns mostly don't matter. They really were only created to make up for language failures of C++; in the original design patterns book 17 of the 23 patterns were just core features of other contemporary languages like LISP. C++ was just really popular while also being kinda bad, so they were necessary. I don't think I've ever once thought about consciously using a design pattern since even before I graduated. Object oriented design is mostly in the same place. You'll use classes because it's a useful way to structure things but multiple inheritance and polymorphism and all the other terms you've learned really don't come into play too often and when they do you use the simplest possible form of them. Code should be simple and easy to understand so make it as simple as possible. As far as inheritance the most I'm willing to do is to have a class with abstract functions (i.e. classes where some functions are empty but are expected to be filled out by the child class) but even then there are usually good alternatives to this.

Related to the above: simple is best. Simple is elegant. If you solve a problem with 4000 lines of code using a bunch of esoteric data structures and language quirks, but someone else did it in 10 then I'll pick the 10. On the other hand a one liner function that requires a lot of unpacking, like a Python function with a bunch of nested lambdas, might be easier to read if you split it up a bit more. Time to read and understand the code is the most important metric, more important than runtime or memory use. You can optimize for the other two later if you have to, but simple has to prevail for the first pass otherwise it's going to be hard for other people to understand. In fact, it'll be hard for you to understand too when you come back to it 3 months later without any context.

Note that I've cut a few things for simplicity. For example: VHDL doesn't quite require every line to run at the same time, but it's still a major paradigm of the language that isn't present in most other languages.

Ok that was a lot to read. I guess I have more to say about programming than I thought. But the core ideas are: Python is pretty good, other languages don't need to be scary, learn your data structures and algorithms and above all keep your code simple and clean.

[03349656115]

appleiphone

[niggadiffusion]

AI as a Partner in Music Production: Unveiling the Future of Sound

In the shadowy corners of a home studio, a producer faces her DAW, stuck on a beat that refuses to come together. Hours pass, yet the perfect drum pattern eludes her. Frustrated, she uploads her existing melody to an AI music tool, tweaks a few settings, and waits. Moments later, five drum patterns appear—each offering a unique groove that blends seamlessly with her chord progression. The third…

[faysalahmed]

Abstraction in design patterns

Abstraction in design patterns is a fundamental concept that focuses on hiding complex implementation details and exposing only essential information or functionalities. It allows you to work with objects or systems at a higher level of understanding, without needing to know how they work internally. Think of it like driving a car: you know how to steer, accelerate, and brake, but you don't need to understand the intricate workings of the engine, transmission, or other internal components to drive effectively.

Here's a breakdown of what abstraction means in the context of design patterns:

Simplification: Abstraction simplifies complex systems by breaking them down into manageable, understandable units. It reduces cognitive overload by focusing on what an object does, not how it does it.

Generalization: Abstraction allows you to treat different objects in a uniform way, as long as they share a common interface or abstract class. This promotes code reusability and flexibility. For example, you might have different types of payment processors (credit card, PayPal, etc.), but you can interact with them through a common "PaymentProcessor" interface.

Information Hiding: Abstraction hides the internal state and implementation details of an object from the outside world. This protects the integrity of the object and prevents external code from becoming dependent on specific implementation details, which could make the system brittle and difficult to change.

Creating a Contract: An abstract class or interface defines a contract that concrete classes must adhere to. This ensures consistency and predictability in how objects interact. Anyone using an object that implements a specific interface knows what methods to expect and how they will behave.

Enabling Polymorphism: Abstraction is crucial for polymorphism, which allows objects of different classes to be treated as objects of a common type. This is a powerful concept that enables flexible and extensible designs.

How Abstraction is Used in Design Patterns:

Many design patterns rely heavily on abstraction. Here are a few examples:

Factory Pattern: The Factory pattern abstracts the process of object creation. Instead of directly instantiating concrete classes, you ask a factory to create the objects for you. This decouples the client code from the specific classes being created.

Strategy Pattern: The Strategy pattern allows you to choose an algorithm at runtime. The different algorithms are abstracted behind a common interface, so the client code can switch between them without needing to know the specific implementation of each algorithm.

Facade Pattern: The Facade pattern provides a simplified interface to a complex subsystem. It hides the complexity of the subsystem behind a single, easy-to-use object.

Observer Pattern: The Observer pattern allows objects to be notified of changes in the state of another object. The details of how the notification is implemented are abstracted away, so the observer doesn't need to know how the subject manages its state.

In summary: Abstraction in design patterns is about creating simplified views of complex systems, hiding implementation details, and focusing on essential functionalities. It's a powerful tool for building flexible, maintainable, and reusable code.

[muwangadesigner]

Efficient Web Application Management with Modular Designs

When designing with modularity in web application development the sole main focus is enhancing efficiency, scalability, and maintainability . This actually possible by breaking down an application into independent, reusable modules. In contrast to a monolithic approach, where all components are tightly coupled, modular architectural design structures the application into separate, self-contained units. In such case, you can modularize the account verification, product management, and payment processing.

This separation allows web developers to work on individual modules without disrupting the entire system, making updates, debugging, and feature additions more manageable. Just like by following Laravel’s modular principles using Service Providers, Repositories, and Packages, teams can develop cleaner, more structured codebases that are easier to scale and maintain.

Support Parallel Development and Flexibility

Modular architecture enables software development teams to build, test, and deploy individual features independently. If one module requires changes or optimizations, it can be modified without affecting the rest of the application, reducing downtime and improving development speed. So, the modular architecture is particularly beneficial for large-scale applications like an office furniture online system, where different teams may handle inventory, customer management, and order processing as separate modules. Try implementing modularization with Laravel, you'll achieve a robust, high-performing, and future-proof web application that efficiently adapts to growing demands.

[arifinfrds-blog]

Understanding the Decorator Pattern in Swift: A Practical Example

Overview Design patterns are a cornerstone of software development, providing reusable solutions to common problems. The Decorator Pattern is a structural design pattern that allows you to dynamically add new behavior to objects without altering their structure. It follows the Open/Closed Principle, which states that a class should be open for extension but closed for modification. In this…

[codeonedigest]

Blue Green Deployment Design Pattern For Microservices With Example for ... Full Video Link               https://youtu.be/J8hcyR2C2ZsHello friends, new #video on #bluegreendeployment #microservices #designpattern #tutorial for #api #developer #programmers with #examples is published on #codeonedigest #youtube channel.  @java #java #aws #awscloud @awscloud @AWSCloudIndia #salesforce #Cloud #CloudComputing @YouTube #youtube #azure #msazure #microservices #microservicesarchitecture #whataremicroservices #microservicestutorial #bluegreendeployment #bluegreendeploymentpattern #bluegreendeploymentinhindi #bluegreendeploymentwithjenkins #bluegreendeploymentaws #bluegreendeploymentawsecs #bluegreendeploymentkubernetes #bluegreendeploymentazuredevops #bluegreendeploymentwithecs #bluegreendeploymentprocess #bluegreendeploymentmethod #bluegreendeploymentexplained #designpatterns    

[jcmarchi]

The Electric Revolution of Henry Ford and the Future of AI in Software Development

New Post has been published on https://thedigitalinsider.com/the-electric-revolution-of-henry-ford-and-the-future-of-ai-in-software-development/

The Electric Revolution of Henry Ford and the Future of AI in Software Development

I’ve been reflecting on how software development is set to evolve with the introduction of AI and AI tools. Change is nothing new in the world of software development. For example, in our parents’ time, programmers used punch cards to write code. However, the impact of AI and AI-driven development will be much more significant. These advancements will fundamentally alter the way we write, structure, and organize code.

There’s a compelling analogy to consider: Henry Ford’s Highland Park Plant. This plant truly revolutionized industrial manufacturing—not in the superficial way that influencers might claim when they say they are “revolutionizing the mushroom tea supplement market.” Ford returned to first principles, examining manufacturing and the tools available at the time to redesign everything from the ground up. He built a new factory centered around electricity. It’s remarkable because industrial electricity existed for nearly forty years before it was effectively utilized to enhance productivity.

Before the invention of electricity, manufacturing plants were structured around a central boiler, with heavy machinery powered by steam. The equipment that required the most power was situated nearest to the boiler, while those that needed less energy were placed farther away. The entire design of the plant focused on the power source rather than efficient production.

However, when Henry Ford began working on the Model T, he collaborated with Thomas Edison to rethink this layout. Edison convinced Ford that electrical power plants could provide a consistent and high level of power to every piece of equipment, regardless of its distance from the generator. This breakthrough allowed Ford to implement his manufacturing principles and design the first assembly line.

It took 40 years—think about that—40 years from the proliferation of industrial electricity for it to change how the world operated in any meaningful way. There were no productivity gains from electricity for over 40 years. It’s insane.

How does this relate to AI and software development, you may ask? Understanding the importance of humans in both software and AI is crucial. Humans are the driving force; we serve as the central power source behind every structure and design pattern in software development. Human maintainability is essential to the principles often referred to as “clean code.” We have created patterns and written numerous articles focusing on software development with people in mind. In fact, we’ve designed entire programming languages to be user-friendly. Code must be readable, maintainable, and manageable by humans since they will need to modify it. Just as a steam factory is organized around a single power source, we structure our systems with the understanding that when that power source changes, the entire system may need to be reorganized.

As AI becomes increasingly integrated into software development, it is emerging as a powerful new tool. AI has the ability to read, write, and modify code in ways that are beyond human

capability. However, certain patterns—such as naming conventions and the principle of single responsibility—can complicate the process for AI, making it difficult to effectively analyze and reason about code.

As AI plays a more central role in development, there will be a growing demand for faster code generation. This could mean that instead of using JavaScript or TypeScript and then minifying the code, we could instruct an AI to make behavioral changes, allowing it to update already minified code directly. Additionally, code duplication might become a beneficial feature that enhances software efficiency, as AI would be able to instantly modify all instances of the duplicated logic.

This shift in thinking will take time. People will need to adapt, and for now, AI’s role in software development primarily provides incremental improvements. However, companies and individuals who embrace AI and begin to rethink fundamental software development principles, including Conway’s Law, will revolutionize the way we build software and, consequently, how the world operates.

[agatedragongames]

Coding tutorial: Observer pattern

The observer pattern has an object named the ‘subject’ which maintains a list of ‘observers’. The subject will notify all the observers when an event occurs. The observers can then choose how they wish to respond to the event.

In this tutorial you will code a zookeeper and animals. The zookeeper represents the subject of the observer pattern. Whilst the animals represent the observers.

The zookeeper will notify the animals when he arrives, and the animals will respond in there own unique way.

To follow along to this tutorial, you can either just read it and apply the knowledge to your programming language. Or you can use Visual Studio, by creating a solution, then create a project with a console application. Then run the project to see the output in the console window.

Walkthrough and full code example on the blog:

[gagande]

PureCode AI review | Optimization Techniques and Design Patterns

Application performance and maintainability are enhanced by optimization techniques and design patterns, integral aspects of TypeScript. From enforcing strict modes in TypeScript to maximize type checking and catch potential errors at compile-time, to using discriminated unions for type-safe state management and action handling in scalable applications, TypeScript offers a plethora of options for code optimization.

[arshikasingh]

Binary Search in Java

Let us see the definition of binary search in Java: