#CSharp Advance

[devleader]

"... Never understand it, but thanks to you I have a chance now" Publishing a piece of content that can help one person makes it worth it. Getting a comment like this for my Deep Dive C# course is all of the motivation I could ever need. The Deep Dive course goes into details about: - Reference vs Value Types - Objected-Oriented Programming - Working with Binary and String Data - Advancing with Methods and Functions - Growing Code Bases ... And the crowd favorite here: async, parallel, and multi-threading! P.S. - Have you tried out one of my courses? I'd love to hear how your experience was! Check out the course here: https://dometrain.com/course/deep-dive-csharp/?ref=nick-cosentino #DotNet #CSharp #LearnToCode #Coding #Programming

[billloguidice]

Start your programming journey today with books on Python, Rust, C#, and more!

Start your programming journey today with books on Python, Rust, C#, and more! #sale #programming #coding #developer #book #books #python #rust #csharp #physics #perl #gnu #scripts

Use this link to check out the four bundle options with up to 18 books! Whether you’re looking to change careers or pick-up a lifelong hobby or vocation, there’s never been a better time to learn to code. This bundle of books will take you all the way from the basics to advanced concepts in languages like Python, Rust, C#, and more! Get a thorough intro to one of the world’s most versatile…

[michele-jelinek]

Hire .NET Developers: A Practical Guide to Machine Learning in .NET

Machine learning (ML) has become a transformative force in the realm of technology, allowing systems to learn and adapt from data without explicit programming. While traditionally associated with languages like Python and R, the .NET ecosystem has made significant strides in integrating machine learning capabilities, providing developers, including those you might want to hire .NET developers, with powerful tools for building intelligent applications. In this practical guide, we'll explore the landscape of machine learning in .NET, covering key libraries, frameworks, and practical examples to get you started on your machine learning journey. This is particularly relevant for businesses looking to expand their team and hire .NET developers with a skill set that extends to machine learning applications.

Understanding the Basics

Before delving into the specifics of machine learning in .NET, let's briefly touch upon the foundational concepts. Machine learning involves training models on data to make predictions or decisions without being explicitly programmed. The process typically includes data collection, model training, evaluation, and deployment.

ML.NET: The Machine Learning Library for .NET

At the heart of .NET's machine learning capabilities lies ML.NET, an open-source and cross-platform machine learning framework developed by Microsoft. ML.NET is not only a powerful tool for incorporating machine learning into applications but also a valuable asset when seeking to hire .NET developers for your projects. This framework enables developers to seamlessly integrate machine learning functionalities into their .NET applications, making it an attractive skill set for businesses looking to expand their teams and hire .NET developers with expertise in diverse ML tasks, including classification, regression, clustering, and anomaly detection. Embracing ML.NET not only enhances your application's intelligence but also opens up opportunities to bring in skilled professionals as you embark on your journey to hire .NET developers with a flair for machine learning.

Installation and Setup

To get started with ML.NET, you need to install the ML.NET NuGet package. Once installed, you can leverage the capabilities of this powerful machine learning framework within your .NET projects. Whether you are working with the traditional .NET Framework or the more recent .NET Core/5/6 applications, ML.NET ensures compatibility and flexibility. This versatility makes it an ideal choice for projects handled by a skilled Best .NET development company looking to integrate machine learning capabilities. If you are planning to incorporate advanced machine learning features into your applications and considering outsourcing, partnering with a reputable best .NET development company can provide the expertise needed to navigate the intricacies of ML.NET seamlessly. The support for both traditional and modern .NET platforms further extends the possibilities when deciding to collaborate with a proficient Best .NET development company for your software projects.

bash

dotnet add package Microsoft.ML

Building Your First Model

Let's dive into a simple example to understand how to build a basic ML.NET model. Consider a scenario where you want to predict housing prices based on features like square footage, number of bedrooms, and location. ML.NET uses a pipeline-based approach, making it intuitive for developers.

csharp

// Define a class to hold data

public class HouseData

{

 public float Size { get; set; }

 public int Bedrooms { get; set; }

 public float Price { get; set; }

}

// Create an MLContext

var context = new MLContext();

// Load the data

var data = context.Data.LoadFromTextFile<HouseData>("path/to/your/data.csv", separatorChar: ',');

// Define the pipeline

var pipeline = context.Transforms.Conversion.MapValueToKey("Label", "Price")

 .Append(context.Transforms.Concatenate("Features", "Size", "Bedrooms"))

 .Append(context.Transforms.NormalizeMinMax("Features"))

 .Append(context.Transforms.Conversion.MapKeyToValue("Price"));

// Train the model

var model = pipeline.Fit(data);

This simple example demonstrates loading data, defining features, and training a model using ML.NET's pipeline.

Integration with TensorFlow and ONNX

While ML.NET provides a broad set of capabilities, it also acknowledges the diversity of the machine learning landscape. Through TensorFlow and ONNX (Open Neural Network Exchange) integration, developers can leverage pre-trained models from popular frameworks seamlessly.

TensorFlow Integration

ML.NET's TensorFlow integration enables the use of TensorFlow models directly within .NET applications. This is particularly useful when you have a pre-trained TensorFlow model and want to incorporate it into your .NET project for tasks such as image recognition or natural language processing.

ONNX Support

ONNX is an open format for representing deep learning models. ML.NET's support for ONNX allows you to use models created in other frameworks like PyTorch or scikit-learn within your .NET applications, promoting interoperability across the machine learning ecosystem.

Model Evaluation and Metrics

Once you've trained your machine learning model, it's crucial to evaluate its performance. ML.NET provides various metrics for classification, regression, and clustering tasks, allowing you to assess the accuracy and effectiveness of your models. For businesses aiming to streamline this process and ensure optimal performance, it becomes imperative to consider the expertise of skilled professionals. This is where the role of experienced .NET developers comes into play.

When you hire .NET developers with proficiency in machine learning and ML.NET, you gain a strategic advantage in model evaluation and fine-tuning. Seasoned .NET developers possess the knowledge to interpret these metrics effectively, making informed decisions to enhance model accuracy and overall performance. Their expertise extends beyond just coding; they contribute significantly to the iterative process of refining machine learning models for optimal results.

Therefore, when evaluating the performance of your machine learning models in a .NET environment, considering the insights and contributions of expert .NET developers becomes a valuable asset. Their skill set ensures that your models not only meet performance expectations but also pave the way for continuous improvement. If you're looking to elevate your machine learning endeavors within the .NET ecosystem, don't hesitate to explore the option to hire .NET developers with a strong foundation in both development and machine learning evaluation.

csharp

var predictions = model.Transform(data);

var metrics = context.Regression.Evaluate(predictions);

Console.WriteLine($"R-Squared: {metrics.RSquared}");

Console.WriteLine($"Mean Absolute Error: {metrics.MeanAbsoluteError}");

These metrics provide insights into how well your model is performing on the given data.

Deployment Options

After successfully training and evaluating your model, the next step is deployment. ML.NET supports various deployment options, including integration with Azure Machine Learning for scalable and cloud-based solutions.

Conclusion

In this practical guide, we've scratched the surface of machine learning in .NET using the ML.NET framework. From understanding the basics to building and evaluating models, the .NET ecosystem offers a robust set of tools for developers venturing into the exciting field of machine learning. Whether you're working on predictive analytics, image recognition, or natural language processing, exploring the integration of machine learning in .NET opens up new possibilities for creating intelligent and adaptive applications.

Remember, the best way to master machine learning in .NET is through hands-on experience. So, if you're looking to expedite your journey into the world of machine learning and seeking expert guidance, consider partnering with a skilled Best .NET development company. Collaborating with a proficient Best .NET development company not only provides access to seasoned professionals but also ensures that your projects involving machine learning integration are executed with precision and expertise. So, roll up your sleeves, dive into the code, and let your journey into the world of machine learning with .NET begin with the support of a reliable Best .NET development company by your side.

[maveninfo979]

Hire .NET Developers: A Practical Guide to Machine Learning in .NET

Machine learning (ML) has become a transformative force in the realm of technology, allowing systems to learn and adapt from data without explicit programming. While traditionally associated with languages like Python and R, the .NET ecosystem has made significant strides in integrating machine learning capabilities, providing developers, including those you might want to hire .NET developers, with powerful tools for building intelligent applications. In this practical guide, we'll explore the landscape of machine learning in .NET, covering key libraries, frameworks, and practical examples to get you started on your machine learning journey. This is particularly relevant for businesses looking to expand their team and hire .NET developers with a skill set that extends to machine learning applications.

Understanding the Basics

Before delving into the specifics of machine learning in .NET, let's briefly touch upon the foundational concepts. Machine learning involves training models on data to make predictions or decisions without being explicitly programmed. The process typically includes data collection, model training, evaluation, and deployment.

ML.NET: The Machine Learning Library for .NET

At the heart of .NET's machine learning capabilities lies ML.NET, an open-source and cross-platform machine learning framework developed by Microsoft. ML.NET is not only a powerful tool for incorporating machine learning into applications but also a valuable asset when seeking to hire .NET developers for your projects. This framework enables developers to seamlessly integrate machine learning functionalities into their .NET applications, making it an attractive skill set for businesses looking to expand their teams and hire .NET developers with expertise in diverse ML tasks, including classification, regression, clustering, and anomaly detection. Embracing ML.NET not only enhances your application's intelligence but also opens up opportunities to bring in skilled professionals as you embark on your journey to hire .NET developers with a flair for machine learning.

Installation and Setup

To get started with ML.NET, you need to install the ML.NET NuGet package. Once installed, you can leverage the capabilities of this powerful machine learning framework within your .NET projects. Whether you are working with the traditional .NET Framework or the more recent .NET Core/5/6 applications, ML.NET ensures compatibility and flexibility. This versatility makes it an ideal choice for projects handled by a skilled Best .NET development company looking to integrate machine learning capabilities. If you are planning to incorporate advanced machine learning features into your applications and considering outsourcing, partnering with a reputable best .NET development company can provide the expertise needed to navigate the intricacies of ML.NET seamlessly. The support for both traditional and modern .NET platforms further extends the possibilities when deciding to collaborate with a proficient Best .NET development company for your software projects.

bash

dotnet add package Microsoft.ML

Building Your First Model

Let's dive into a simple example to understand how to build a basic ML.NET model. Consider a scenario where you want to predict housing prices based on features like square footage, number of bedrooms, and location. ML.NET uses a pipeline-based approach, making it intuitive for developers.

csharp

// Define a class to hold data

public class HouseData

{

 public float Size { get; set; }

 public int Bedrooms { get; set; }

 public float Price { get; set; }

}

// Create an MLContext

var context = new MLContext();

// Load the data

var data = context.Data.LoadFromTextFile<HouseData>("path/to/your/data.csv", separatorChar: ',');

// Define the pipeline

var pipeline = context.Transforms.Conversion.MapValueToKey("Label", "Price")

 .Append(context.Transforms.Concatenate("Features", "Size", "Bedrooms"))

 .Append(context.Transforms.NormalizeMinMax("Features"))

 .Append(context.Transforms.Conversion.MapKeyToValue("Price"));

// Train the model

var model = pipeline.Fit(data);

This simple example demonstrates loading data, defining features, and training a model using ML.NET's pipeline.

Integration with TensorFlow and ONNX

While ML.NET provides a broad set of capabilities, it also acknowledges the diversity of the machine learning landscape. Through TensorFlow and ONNX (Open Neural Network Exchange) integration, developers can leverage pre-trained models from popular frameworks seamlessly.

TensorFlow Integration

ML.NET's TensorFlow integration enables the use of TensorFlow models directly within .NET applications. This is particularly useful when you have a pre-trained TensorFlow model and want to incorporate it into your .NET project for tasks such as image recognition or natural language processing.

ONNX Support

ONNX is an open format for representing deep learning models. ML.NET's support for ONNX allows you to use models created in other frameworks like PyTorch or scikit-learn within your .NET applications, promoting interoperability across the machine learning ecosystem.

Model Evaluation and Metrics

Once you've trained your machine learning model, it's crucial to evaluate its performance. ML.NET provides various metrics for classification, regression, and clustering tasks, allowing you to assess the accuracy and effectiveness of your models. For businesses aiming to streamline this process and ensure optimal performance, it becomes imperative to consider the expertise of skilled professionals. This is where the role of experienced .NET developers comes into play.

When you hire .NET developers with proficiency in machine learning and ML.NET, you gain a strategic advantage in model evaluation and fine-tuning. Seasoned .NET developers possess the knowledge to interpret these metrics effectively, making informed decisions to enhance model accuracy and overall performance. Their expertise extends beyond just coding; they contribute significantly to the iterative process of refining machine learning models for optimal results.

Therefore, when evaluating the performance of your machine learning models in a .NET environment, considering the insights and contributions of expert .NET developers becomes a valuable asset. Their skill set ensures that your models not only meet performance expectations but also pave the way for continuous improvement. If you're looking to elevate your machine learning endeavors within the .NET ecosystem, don't hesitate to explore the option to hire .NET developers with a strong foundation in both development and machine learning evaluation.

csharp

var predictions = model.Transform(data);

var metrics = context.Regression.Evaluate(predictions);

Console.WriteLine($"R-Squared: {metrics.RSquared}");

Console.WriteLine($"Mean Absolute Error: {metrics.MeanAbsoluteError}");

These metrics provide insights into how well your model is performing on the given data.

Deployment Options

After successfully training and evaluating your model, the next step is deployment. ML.NET supports various deployment options, including integration with Azure Machine Learning for scalable and cloud-based solutions.

Conclusion

In this practical guide, we've scratched the surface of machine learning in .NET using the ML.NET framework. From understanding the basics to building and evaluating models, the .NET ecosystem offers a robust set of tools for developers venturing into the exciting field of machine learning. Whether you're working on predictive analytics, image recognition, or natural language processing, exploring the integration of machine learning in .NET opens up new possibilities for creating intelligent and adaptive applications.

Remember, the best way to master machine learning in .NET is through hands-on experience. So, if you're looking to expedite your journey into the world of machine learning and seeking expert guidance, consider partnering with a skilled Best .NET development company. Collaborating with a proficient Best .NET development company not only provides access to seasoned professionals but also ensures that your projects involving machine learning integration are executed with precision and expertise. So, roll up your sleeves, dive into the code, and let your journey into the world of machine learning with .NET begin with the support of a reliable Best .NET development company by your side.

[metaverseconsul]

Navigating the Future: Metaverse Virtual City Development Services and Solutions

Introduction:

In the ever-evolving landscape of technology, the concept of the Metaverse has taken center stage, offering a glimpse into a futuristic digital realm where virtual and physical worlds seamlessly blend. Within this expansive Metaverse, the emergence of Metaverse Virtual Cities has become a revolutionary trend, transforming the way we connect, collaborate, and conduct business. In this article, we'll delve into the exciting realm of Metaverse Virtual City Development Services and Solutions, exploring the concept of Metaproalne and the groundbreaking Metaverse product.

Unveiling the Metaverse Virtual City:

The Metaverse Virtual City is a digital utopia that transcends traditional boundaries, offering users an immersive experience where they can live, work, and play in a dynamic virtual environment. These cities are not confined by physical limitations but rather thrive on the creativity and innovation of Metaverse developers.

Metaverse Virtual City Development Services and Solutions:

The rapid growth of the Metaverse has fueled the demand for specialized development services and solutions. Developers now play a pivotal role in shaping the virtual landscapes of these cities, offering a range of services to design, build, and optimize the digital infrastructure.

a. Architectural Marvels in the Digital Realm:

vbnet

  Metaverse Virtual City development services focus on creating architectural wonders in the digital realm. From skyscrapers to parks and entertainment hubs, developers leverage cutting-edge technologies to design and construct captivating virtual spaces.

b. User-Centric Design and Experience:

sql

  User experience is paramount in the Metaverse. Development solutions prioritize user-centric design, ensuring seamless navigation and interaction within the virtual city. This includes intuitive interfaces, realistic simulations, and engaging social features.

c. Security and Privacy Integration:

css

  As the Metaverse becomes an integral part of our daily lives, security and privacy are critical considerations. Development services incorporate robust security measures and privacy protocols to safeguard user data and ensure a secure virtual environment.

3. Metaproalne: Pioneering the Metaverse Revolution:

Metaproalne is a term coined to describe the proactive approach towards Metaverse development, highlighting the amalgamation of metaprogression and metaproactivity. This philosophy emphasizes constant innovation, pushing the boundaries of what is possible within the Metaverse.

a. Metaprogression:

arduino

  Metaprogression involves the continuous advancement of virtual environments. Developers embracing metaprogression actively seek ways to enhance the Metaverse experience, introducing new technologies, features, and interactive elements to keep users engaged.

b. Metaproactivity:

arduino

  Metaproactivity reflects the proactive nature of Metaverse development. Instead of reacting to trends, metaproactive developers anticipate user needs and market demands, pioneering novel solutions and services that shape the future of the Metaverse.

4. The Game-Changer: Metaverse Product:

As the Metaverse gains momentum, a standout product has emerged – a game-changer that redefines the virtual experience. This Metaverse product encompasses a wide range of innovations, from virtual reality devices to augmented reality applications, creating an ecosystem that enhances immersion and connectivity.

a. Immersive Virtual Reality Devices:

csharp

  Metaverse products include state-of-the-art virtual reality devices that transport users into a lifelike digital environment. These devices not only offer unparalleled visual experiences but also incorporate haptic feedback and spatial audio, heightening the sense of immersion.

b. Augmented Reality Applications:

vbnet

  Augmented reality applications seamlessly blend the virtual and physical worlds. From navigation aids to interactive experiences, these applications enhance real-world interactions by overlaying digital information onto the user's physical surroundings.

Conclusion:

The Metaverse Virtual City is a testament to the limitless possibilities of digital innovation. With the surge in Metaverse Virtual City Development Services and Solutions, coupled with the pioneering spirit of Metaproalne and groundbreaking Metaverse products, we are witnessing the dawn of a new era. As we navigate the future, the Metaverse beckons, offering a transformative experience that transcends the boundaries of the physical world. Embrace the journey into this digital frontier, where the Metaverse Virtual City is not just a concept but a vibrant reality shaping the way we perceive and interact with the world around us.

[anshuu2k]

💻 Let's discover the exciting realm of C & C++ programming! 🚀 Join us now and break down the magic of coding. 💡 We'll start from the basics and progress to advanced concepts, guiding you through every step of C & C++ learning. #clanguage#coding#programmer#cprogramminglanguage#c++#cprogramming#education#courses#software#vizag#anakapalli#srikakulam#vizianagaram#andhrapradesh#dataprocomputers

[johnsnotes]

STOPWATC# made with csharp

Is a straightforward C# application that serves as a digital stopwatch. The user-friendly interface allows for timing durations in either seconds or minutes.

Through an organized menu, users can set their desired time, watch the countdown, and receive a notification once the set duration has elapsed. Planned future improvements are set to optimize its efficiency and potentially add more advanced features. The application aims for simplicity and functionality, with open avenues for community feedback and enhancements.

Here

[futuretechhub-in]

Top 14 Power-packed C# Interview Questions and Answers 2023

Prepare for your programming interview with our comprehensive C# interview questions and answers collection. Boost confidence and master C# concepts. Start learning now! ( oops interview questions in c#)

Top 14 C# Inquiries Questions Answers 2023

Presentation

Is it true that you are getting ready for a C# interview and having an apprehensive outlook on it? Simply relax; we take care of you! Our far reaching guide on "C# Inquiries Questions and Replies" is here to outfit you with the information and certainty you really want to handle the meeting like an ace. Whether you have 5 years of involvement or 10 years, this article is custom fitted to take care of your requirements and assist you with standing apart among different up-and-comers.

C# is a strong and generally utilized programming language, particularly in the domain of Microsoft improvement. It fills in as the foundation of numerous applications, including web, work area, versatile, and cloud-based arrangements. As you plan for your C# interview, it's fundamental to have areas of strength for an of the language's essentials, high level ideas, and best practices.

In this aide, we will cover an extensive variety of C# inquiries questions, beginning from the nuts and bolts and progressively advancing to further developed subjects. You'll find questions connected with C# grammar, information types, control structures, object-situated programming (OOP) standards, LINQ, special case taking care of, multithreading, and that's only the tip of the iceberg. Each question is cautiously organized to mirror the kinds of difficulties you could experience during your meeting.

To make the opportunity for growth connecting with and successful, we've included itemized clarifications and model code for each inquiry. This will help you comprehend the ideas as well as gain reasonable experiences into executing arrangements. Also, we'll give tips and deceives to advancing your C# code and dealing with normal entanglements.

Furthermore, we comprehend that meetings can be unpleasant, and being totally ready goes past specialized information. We'll offer direction on the most proficient method to move toward social inquiries, share your previous encounters, and show your critical thinking abilities really. An effective meeting isn't just about offering the right responses yet in addition exhibiting your excitement, flexibility, and capacity to work in a group.

Find the best 5 vehicle run cam models for improved street wellbeing and recording abilities.

Whether you're talking with for a lesser engineer position or a senior-level job, our aide has something for everybody. We've incorporated a different scope of inquiries to challenge you at different levels and guarantee you're completely ready for any situation.

Keep in mind, interviews are a trial of what you know as well as an open door to exhibit your energy for programming and your eagerness to learn and develop. Be certain, remain mentally collected, and let your insight and abilities sparkle.

Thus, assuming you're prepared to succeed in your C# interview and land that fantasy job, how about we jump into our exhaustive aide. With our assistance, you'll be completely ready to pro the meeting and make the following stride in your thrilling C# advancement venture. Allow the figuring out how to start!

See  more info: - https://futuretechhub.in/csharp-interview-question-answers/

[devleader]

Want to learn about one of the most powerful (and misunderstood) features in .NET? I've put together a course on Reflection in .NET to help guide you through this! Reflection makes programming feel like magic, even more than it already does. It allows .NET developers to gain access to programming capabilities, that compile time safety might not allow. It's used everywhere! It's the glue that brings some of the most advanced features in .NET together to enable us to build: - APIs - Web applications - Mobile apps - Desktop apps - and so much more! Knowing how to use reflection is one thing, but very few developers fully understand it and use such a powerful tool responsibly. Check out the course here: https://dometrain.com/course/from-zero-to-hero-reflection-in-dotnet/?ref=nick-cosentino #DotNet #CSharp #Reflection #Dometrain

[izicodes]

Hiya! Just found your blog, and first of all it’s awesome that you’re learning so many things!! and there’s so much progress good job :000

My best friend started a course on c# coding but they’ve been feeling so stressed out that they have been avoiding it for the longest time, that i decided that i’ll learn as well and help them cause i want them to succeed, understand and be confident!!

But uhhhh… obviously i don’t have access to the course that they are doing, and they don’t have notes for me, cause they haven’t been doing it….

Can you please point me to good starting out c# resources? And uhh probably a question for the future, would it be okay if i would pop in here from time to time with questions about code? thank you in advance for answering and please have a wonderful day, don’t forget to take breaks and drink water!

Hallo Hallo! ≧◉◡◉≦

I’m sorry your friend is struggling with C# right now, C# is literally the hardest programming language I’ve tried yet so I understand the feeling. I just submitted a C# project that was due on the 18th of April… I just couldn’t understand Abstract classes and Interface and it took me a month to understand them. Sometimes I just need a break from C# altogether! But props to you for wanting to learn C# and help them, especially since you’re going the self-taught route!

So, C# resources! As I am still learning (only 6 months into my apprenticeship) my advice is like amateur/junior level! But I’ll try my best! This is my advice and I know some more experienced c# programmers might be like “Erm, no?” but hey ho I’m trying my best!

Microsoft C# Documentation

Use this like your religious/spiritual book. It’s hella confusing at first but always just refer back to this, especially good practises and error codes you don’t understand. I recommend going over the ‘Learn to program in C#’, ‘C# fundamentals’ and ‘Key Concepts’. Just skim read them, watch the videos, do the tutorials, save them on your computer to look back, make notes and more. Read read read until you understand. And if you can’t, there’s Youtube that can visually show you how.

The way my teacher taught C#

This is the order he taught us and I am very confident up to Topic 9. I’m still going over notes from there on and doing the homework. If you have any questions from topics 1 to 8, I’d be happy to help! WinForms and Databases (C# x SQL) were included because I did those before my C# learning but I can help with those too!

The basics - installing Visual Studio, first console app, first WinForm

Methods

Intro to Conditionals

More on Conditionals

Loops

Arrays

Object-Oriented Programming - data types, classes, objects, the fours OOP concepts with C#

OOP - fields and methods

Enums and Strings

Collections and Generics

Working with files

The meaning of ‘static’

Exceptions

Intro to Inheritance

Inheritance towards Polymorphism

Abstract classes and Interfaces (where I had struggles with recently ahaha)

Generic Interfaces

Introduction to Testing

Solid principles and Design patterns

C# Learning Websites

C# Tutorial by Demo2s

C# Tutorials by BrainBell

C# programming by TutorialsTeacher

Learn c# Programming by Programiz

C# Tutorial for Beginners by Guru99

C# Tutorial by C#Station

C# by Learncs.org

C# / CSharp Tutorial by Java2s

Youtube Channels

FreeCodeCamp.org C# Section

Programming with Professor Sluiter

Academy Artan

ProgrammingGeek

ASPNET WEBFORM

Barry Solomon

Fox Learn

The C# Academy

Shaun Halverson

RJ Code Advance EN

Obviously, there are loads more but these are the ones I like the most. Some of them are like years old but still relevant in terms of the basic concepts of each topic. And some are more project-oriented.

Youtube Playlists

Beginning C# by Programming with Professor Sluiter

Programming in C# by mkaatr

C#.NET Tutorials by Programming with Mosh

C# Complete Tutorial From Beginner To Advance by FL Developers - 8 hours but please take your time, make notes and follow him, he's really good imo

C# Tutorials by Caleb Curry

C# Excerises/Homework/Projects

C# Sharp Programming Exercises, Practice, Solution by w3resource

Practise Exercises C# Sharp

C# by Exercism

250+ C# Basic: Exercises, Practice, Solution | C# programming examples and solutions by Tech Study

 Visual C# exercises by WiseOwl

Online Books

C Sharp Programming Book (226 pages)

Introduction to C#  (65 pages)

Other books on C#Corner

Discord

I would recommend joining a community for help and inspiration. I joined one on Discord called C# (LINK), they have like actual C# experts on there - Had one read my code and he said it looked great, I literally melted in my seat I was so happy XD

I hope this helps as a starter! And like you mentioned, you can dm or ask me any questions. And if you’re in need of homework for topics, I can give you similar homework tasks my tutor gave us / make some up for you, I don’t mind. BUT REMEMBER I am still like beginner/Junior (I would say more low-level Junior) with C# so if I’m like uhhhh, I’ll just ask my tutor/my colleagues at work and see if they can give feedback.

But yeah! This is all I can think of right now as help! Dm me if you are stuck on anything! Have a nice day! ᕙ(`▿´)ᕗ

[techpointfundamentals]

For checking or changing the C# version in the visual studio do the following steps: Step 1: Select the project from Solution Explorer. Step 2: Right-click on the Project. Step 3: From the left pane menu select Build. Step 4: From the right pane click Advanced. Step 5: Now you can change the C# from the Language version option.

[myfootstep-blog1]

C# Indexer

Menggunakan indexer akan mengijinkan kita untuk mengakses classs seperti halnya mengakses array. Ketika kita mendefinisikan indexer pada sebuah class maka class tersebut akan menjadi seperti virtual array. Kemudian kita dapat mengakses instance dari class tersebut menggunakan array access operator ( [  ]).

Sintax

Berikut ini adalah contoh untuk mendefinisikan indexer berdimensi satu

element-type this[int index] { // The get accessor. get { // return the value specified by index } // The set accessor. set { // set the value specified by index } }

Indexer hampir mirip dengan property, perbedaan mendasar antara keduanya adalah jika property hanya digunakan untuk specific data saja maka berbeda halnya dengan indexer, pada indexer digunanakan untuk memanipulasi bagian dari instance class dengan kata lain kita dapat membagi class kedalam bagian yang lebih kecil.

Pada indexer kita tidak mendefinisikan nama indexer tetapi menggunakan keyword this yang merupakan instance dari object. Berikut ini adalah contoh penggunaan indexer

using System; namespace IndexerApplication { class IndexedNames { private string[] namelist = new string[size]; static public int size = 10; public IndexedNames() { for (int i = 0; i < size; i++) namelist[i] = "N. A."; } public string this[int index] { get { string tmp; if( index >= 0 && index <= size-1 ) { tmp = namelist[index]; } else { tmp = ""; } return ( tmp ); } set { if( index >= 0 && index <= size-1 ) { namelist[index] = value; } } } static void Main(string[] args) { IndexedNames names = new IndexedNames(); names[0] = "Zara"; names[1] = "Riz"; names[2] = "Nuha"; names[3] = "Asif"; names[4] = "Davinder"; names[5] = "Sunil"; names[6] = "Rubic"; for ( int i = 0; i < IndexedNames.size; i++ ) { Console.WriteLine(names[i]); } Console.ReadKey(); } } }

Ketika program dieksekusi akan memberikan ouput sebagai berikut

Zara Riz Nuha Asif Davinder Sunil Rubic N. A. N. A. N. A.

Overloaded Indexer

Indexer juga bisa melakukan overload pada indexer dan juga bisa mempunyai parameter lebih dari satu, parameter indexer bisa berupa type selain integer. Berikut ini contoh untuk mengilustrasikan penggunaan indexer

using System; namespace IndexerApplication { class IndexedNames { private string[] namelist = new string[size]; static public int size = 10; public IndexedNames() { for (int i = 0; i < size; i++) { namelist[i] = "N. A."; } } public string this[int index] { get { string tmp; if( index >= 0 && index <= size-1 ) { tmp = namelist[index]; } else { tmp = ""; } return ( tmp ); } set { if( index >= 0 && index <= size-1 ) { namelist[index] = value; } } } public int this[string name] { get { int index = 0; while(index < size) { if (namelist[index] == name) { return index; } index++; } return index; } } static void Main(string[] args) { IndexedNames names = new IndexedNames(); names[0] = "Zara"; names[1] = "Riz"; names[2] = "Nuha"; names[3] = "Asif"; names[4] = "Davinder"; names[5] = "Sunil"; names[6] = "Rubic"; //using the first indexer with int parameter for (int i = 0; i < IndexedNames.size; i++) { Console.WriteLine(names[i]); } //using the second indexer with the string parameter Console.WriteLine(names["Nuha"]); Console.ReadKey(); } } }

Ketika program dieksekusi akan memberikan output sebagai berikut

Zara Riz Nuha Asif Davinder Sunil Rubic N. A. N. A. N. A. 2

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