Ximplifiis in the Cloud Infrastructure Industry

Ximplifi

StaFi, a prominent staking infrastructure provider, has integrated Liquid Restaking Token (LRT) support into its Liquid Staking as a Service (LSaaS) offering. This development comes shortly after the introduction of LSaaS and coincides with the unveiling of the StaFi 2.0 roadmap, indicating a clear direction for the future of staking services. StaFi has been instrumental in providing scalable solutions for staking, particularly by addressing liquidity issues commonly associated with locked-in staking mechanisms. The addition of EigenLayer, a protocol that allows for the restaking of Ethereum tokens, marks a pivotal moment. EigenLayer's technology facilitates the reuse of staked tokens to enhance security across multiple applications, a breakthrough in maximizing blockchain efficiencies. The LSaaS's new capability to support LRT transforms the platform into a more versatile and developer-friendly environment. By simplifying the process of deploying LRT functionalities—such as restaking, minting and burning tokens, and managing pools—StaFi significantly reduces the barriers that previously hampered development speeds and operational scalability. Functionalities Enabled by the Integration The recent update includes several key functionalities: Restake/Unrestake/Withdraw: Allows users to manage their staking positions fluidly.


Mint/Burn LRT: Enables the creation or removal of LRT to adjust supply based on demand.


Restaking Pool: Facilitates the pooling of resources to optimize rewards and risks.


Delegate/Undelegate Restaking Operator: Offers governance capabilities over who manages the restaked assets. Impact on Developers and the Broader Market From a developer’s perspective, the integration is a game-changer. According to Liam Young, the founder of StaFi, it simplifies the previously complex task of building restaking products, dramatically reducing lead times. For the market, this means quicker innovations and the introduction of products that utilize shared security features, enhancing the overall security and utility of blockchain networks. The roadmap points to further expansions, including planned support for Bitcoin LRT and continuous enhancements aligned with EigenLayer's upgrades. These initiatives are expected to solidify StaFi’s transition from a multi-chain liquid staking protocol to a more foundational layer that offers extensive infrastructure capabilities. The integration of LRT into StaFi’s LSaaS stack represents a significant step forward in the evolution of blockchain infrastructure. By enabling more efficient and flexible staking solutions, StaFi is not just responding to current market needs but is also paving the way for future advancements. This development holds the potential to catalyze further innovations within the blockchain space, reinforcing StaFi’s role as a key player in the ongoing evolution of decentralized finance. This progress in blockchain technology continues to open new avenues for developers and investors alike, promising an exciting future for the integration of traditional finance and decentralized networks. Dont forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. StaFi , a prominent staking infrastructure provider, has integrated Liquid Restaking Token (LRT) support into its Liquid Staking as a Service (LSaaS) offering. This development comes shortly after the introduction of LSaaS and coincides with the unveiling of the StaFi 2.0 roadmap, indicating a clear direction for the future of staking services. StaFi StaFi has been instrumental in providing scalable solutions for staking, particularly by addressing liquidity issues commonly associated with locked-in staking mechanisms. The addition of EigenLayer, a protocol that allows for the restaking of Ethereum tokens, marks a pivotal moment. EigenLayer's technology facilitates the reuse of staked tokens to enhance security across multiple applications, a breakthrough in maximizing blockchain efficiencies. The LSaaS's new capability to support LRT transforms the platform into a more versatile and developer-friendly environment. By simplifying the process of deploying LRT functionalities—such as restaking, minting and burning tokens, and managing pools—StaFi significantly reduces the barriers that previously hampered development speeds and operational scalability. Functionalities Enabled by the Integration Functionalities Enabled by the Integration The recent update includes several key functionalities: Restake/Unrestake/Withdraw: Allows users to manage their staking positions fluidly. Mint/Burn LRT: Enables the creation or removal of LRT to adjust supply based on demand. Restaking Pool: Facilitates the pooling of resources to optimize rewards and risks. Delegate/Undelegate Restaking Operator: Offers governance capabilities over who manages the restaked assets. Restake/Unrestake/Withdraw: Allows users to manage their staking positions fluidly. Restake/Unrestake/Withdraw: Allows users to manage their staking positions fluidly. Restake/Unrestake/Withdraw: Mint/Burn LRT: Enables the creation or removal of LRT to adjust supply based on demand. Mint/Burn LRT: Enables the creation or removal of LRT to adjust supply based on demand. Mint/Burn LRT: Restaking Pool: Facilitates the pooling of resources to optimize rewards and risks. Restaking Pool: Facilitates the pooling of resources to optimize rewards and risks. Restaking Pool: Delegate/Undelegate Restaking Operator: Offers governance capabilities over who manages the restaked assets. Delegate/Undelegate Restaking Operator: Offers governance capabilities over who manages the restaked assets. Delegate/Undelegate Restaking Operator: Impact on Developers and the Broader Market Impact on Developers and the Broader Market From a developer’s perspective, the integration is a game-changer. According to Liam Young, the founder of StaFi, it simplifies the previously complex task of building restaking products, dramatically reducing lead times. For the market, this means quicker innovations and the introduction of products that utilize shared security features, enhancing the overall security and utility of blockchain networks. The roadmap points to further expansions, including planned support for Bitcoin LRT and continuous enhancements aligned with EigenLayer's upgrades. These initiatives are expected to solidify StaFi’s transition from a multi-chain liquid staking protocol to a more foundational layer that offers extensive infrastructure capabilities. The integration of LRT into StaFi’s LSaaS stack represents a significant step forward in the evolution of blockchain infrastructure. By enabling more efficient and flexible staking solutions, StaFi is not just responding to current market needs but is also paving the way for future advancements. This development holds the potential to catalyze further innovations within the blockchain space, reinforcing StaFi’s role as a key player in the ongoing evolution of decentralized finance. This progress in blockchain technology continues to open new avenues for developers and investors alike, promising an exciting future for the integration of traditional finance and decentralized networks. Dont forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

StaFi’s Integration with EigenLayer Simplifies Crypto Staking

EigenLayer-এর সাথে StaFi-এর ইন্টিগ্রেশন ক্রিপ্টো স্টেকিংকে সহজ করে

Die Integration von StaFi mit EigenLayer vereinfacht das Krypto-Staking

La integración de StaFi con EigenLayer simplifica las apuestas criptográficas

L'intégration de StaFi avec EigenLayer simplifie le jalonnement cryptographique

StaFi का EigenLayer के साथ एकीकरण क्रिप्टो स्टेकिंग को सरल बनाता है

StaFiとEigenLayerの統合により暗号通貨のステーキングが簡素化

StaFi와 EigenLayer의 통합으로 암호화폐 스테이킹 간소화

A integração do StaFi com o EigenLayer simplifica o staking de criptografia

Интеграция StaFi с EigenLayer упрощает ставку криптовалюты

StaFi'nin EigenLayer ile Entegrasyonu Kripto Staking'i Kolaylaştırıyor

Sự tích hợp của StaFi với EigenLayer giúp đơn giản hóa việc đặt cược tiền điện tử

StaFi 与 EigenLayer 的集成简化了加密货币质押

Welcome to ’s Writing Prompts! Would you like to take a stab at answering some of these questions? HackerNoon The link for the template is HERE. 1. What is your company in 2–5 words? Sound.me is an AI-powered influencer platform. 2. Why is now the time for your company to exist? As the founder of Sound.me, I see now as the perfect time for our platform's existence. We're revolutionizing the creator industry by simplifying influencer marketing, eliminating lengthy negotiations, ensuring creator accountability, and enabling global reach with immediate content posting. Our advanced AI technology optimizes campaign performance, allowing clients to control spending and achieve remarkable results—over 2 billion views in just a year. Facing challenges like platform stability and bot activity head-on, we've enhanced our system for better quality control and targeting precision. With over a million creators and expanding daily, Sound.me is poised for further growth, especially as we extend our services beyond music promotion to include brands in 2024. This expansion opens new opportunities, making Sound.me a pivotal player in redefining the creator economy at this crucial time. 3. What do you love about your team, and why are you the ones to solve this problem? My team and I share a common vision and a relentless drive to create solutions that make everyone’s lives easier. We understand the pain points from both the creators' and the clients' perspectives, and strive to improve everyday. We’re always looking for the next problem we can fix. 4. If you weren’t building your startup, what would you be doing? When I first moved to the United States, I was a touring guitarist. So, I would most likely still be playing guitar and touring, or producing music. 5. At the moment, how do you measure success? What are your metrics? We measure success through hard numbers. Since launching, Sound.me has achieved remarkable success, amassing over 2 billion views, 500 million likes, 100 million comments, and 70 million shares within just a year. The platform is experiencing rapid growth, currently hosting over one million creators and adding approximately 5,000 new creators daily. 6. In a few sentences, what do you offer to whom? Sound.me is a platform for content creators and marketers. It eliminates lengthy negotiations, lack of creator accountability, limited global reach, delays in posting promotional videos, and more by using AI technology to streamline the entire influencer marketing process. The AI also gives clients control over their marketing investments, targeting a global network of over a million creators and tracking campaign performance constantly. 7. What’s most exciting about your traction to date? Our remarkable growth - as mentioned, we recently surpassed 1 million users on the platform in under two years, and we continue to grow at a rapid rate. 8. Where do you think your growth will be next year? Next year, most of our growth will be focused on enhancing our targeting capabilities, which will allow for more highly localized and relevant promotions (for example, adding interests, hashtags, and Designated Market Area), and we are hoping to expand beyond music promotion to include a wider range of brands. This will diversify our clientele and open new opportunities for creators and businesses, tapping into new markets and fueling our platform's growth. 9. Tell us about your first paying customer and revenue expectations over the next year. Our first customers were content creators and marketers looking to market their new music, but in 2024 we’re hoping to expand to other types of brands and marketing professionals. We expect to continue the same growth as this year, given the platform’s expanding capabilities. 10. What’s your biggest threat? Ensuring that Sound has the capability to support our massive growth -  the current daily influx of over 200,000 users presented a substantial logistical hurdle, given the sheer volume of participants. So as we continue to grow, we need to make sure the platform is ready and still operating at maximum efficiency! This startup founder interview template is based on ’s . HackerNoon Founder & CEO David Smooke ten questions for startup founders Would you like to take a stab at answering some of these questions? The link for the template is HERE.

How Sound.me Simplifies AI-Powered Influencer Marketing

Most of the time when I’m developing applications, I default to using some form of SQL. Whether it’s a simple application using SQlite or something a bit more robust that I plan to scale out with MySQL, it’s inevitably some flavor of SQL. However, when starting new projects over the past few years I’ve been trying to make sure I have experience with document databases and have spent more time using in C#. MongoDB In this article, I’ll guide you through some basics for being able to insert data using MongoDB in C#. We’ll keep it light and to the point, so let’s dive into a brief overview of MongoDB in C# followed by some code examples in C#! Overview of MongoDB in C# MongoDB is a widely used NoSQL database that provides a flexible and scalable solution for data storage. One of the key benefits of MongoDB is its document-oriented nature so instead of using tables with fixed schemas like in traditional relational databases, MongoDB stores data in collections of JSON-like documents. This can allow for a more flexible and dynamic data model, especially in scenarios where data structures can vary. In C#, you can seamlessly integrate MongoDB into your applications because MongoDB provides a native driver for C#. This simplifies the process of interacting with the database and provides a comfortable development experience for C# developers. Well, mostly. If you’re used to using SQL connections, SQL command objects, and classes to access your data, it’s a little bit more cumbersome. But this is coming from the perspective of someone who prefers to write raw SQL queries in their data access layer. I suspect if you didn’t have this bias then working with their API, especially for filtering, would feel pretty intuitive. DataReader One big thing you’ll want to keep in mind if you’re coming from a relational database background is understanding the primary differences between relational and document databases. In the former, we generally denormalize data across tables and, in the latter, we write the data as a document that we’d like to read back without having to join. These types of databases aren’t designed to join data like we do with relational databases, so it’s something to be aware of! Follow Along with MongoDB in C# Content I always try to make sure I provide multiple modes of content when I’m able to. Below, you’ll find a YouTube video walking through examples of MongoDB in C# for inserting records: https://youtu.be/0fB9qg-oR04?embedable=true Of course, if you’d rather play around with some working code (aside from ensuring you have your own database), you can find the example code on my . You should be able to clone it, set up your connection string properly, change your database and collection names as needed, and then rock and roll! Dev Leader GitHub repository here Inserting Documents into MongoDB in C# In this section, I’ll explain how to insert documents into MongoDB using C#. We’ll look at code examples using the and methods. We’ll see these methods in their synchronous and asynchronous forms! Remember, you will need to ensure you have the “MongoDB.Driver” NuGet package installed in your project for the following code examples to work. InsertOne InsertMany Using the InsertOne and InsertOneAsync Methods To insert a single document into a MongoDB collection synchronously, use the method. This method is straightforward and is executed immediately, blocking the current thread until the operation completes. Here’s a basic example: InsertOne using MongoDB.Bson;
using MongoDB.Driver;

// Connect to MongoDB instance
var client = new MongoClient("mongodb://localhost:27017");

// Select database
var database = client.GetDatabase("testDatabase");

// Select collection (sort of like a SQL "table")
var collection = database.GetCollection<BsonDocument>("myCollection");

var document = new BsonDocument
{
    { "name", "John" },
    { "age", 30 }
};

// Insert document into collection
collection.InsertOne(document); In this example: We first establish a connection to the MongoDB instance and select our database and collection. Then, we create a object, which represents the document we want to insert. BsonDocument Finally, we call on our collection object, passing in the document. This inserts the document into the specified collection. InsertOne For asynchronous operations, you can use . This method is especially useful in applications that require non-blocking operations, such as web applications or services, to maintain responsiveness. Here’s how to use it: InsertOneAsync using MongoDB.Bson;
using MongoDB.Driver;
using System.Threading.Tasks;

// just like the former example
var client = new MongoClient("mongodb://localhost:27017");
var database = client.GetDatabase("testDatabase");
var collection = database.GetCollection<BsonDocument>("myCollection");

var document = new BsonDocument
{
    { "name", "Jane" },
    { "age", 28 }
};

// Asynchronously insert document
await collection.InsertOneAsync(document, cancellationToken: CancellationToken.None); In this asynchronous example: The setup is similar to the synchronous version, but we use with . This tells the program to continue with other work that doesn’t depend on the completion of the insert operation. await InsertOneAsync Take note that you can pass in a cancellation token here which is a best practice for async code Note that both and methods throw exceptions if the insert operation fails, so you should use try-catch blocks to handle potential errors gracefully. InsertOne InsertOneAsync Using the InsertMany and InsertManyAsync Methods The method synchronously inserts a list of document objects into the specified collection. This is useful when you have multiple documents ready to be stored and want to execute the operation in a single call. Here’s an example: InsertMany using MongoDB.Bson;
using MongoDB.Driver;
using System.Threading.Tasks;

// just like the former example
var client = new MongoClient("mongodb://localhost:27017");
var database = client.GetDatabase("testDatabase");
var collection = database.GetCollection<BsonDocument>("myCollection");

var documents = new List<BsonDocument>
{
    new BsonDocument("name", "John").Add("age", 30),
    new BsonDocument("name", "Jane").Add("age", 25),
    new BsonDocument("name", "Doe").Add("age", 28)
};

collection.InsertMany(documents); In this example, we first get a reference to our collection. Then, we of objects, each representing a document to insert. Finally, we call with our list of documents. This method will insert all documents in the list into the MongoDB collection in one operation. create a list BsonDocument InsertMany For asynchronous operations, particularly useful in applications where responsiveness is crucial or when dealing with I/O-bound tasks, you can use the method. This method works similarly to , but it performs the operation asynchronously. Here’s an example: InsertManyAsync InsertMany using MongoDB.Bson;
using MongoDB.Driver;
using System.Threading.Tasks;

// just like the former example
var client = new MongoClient("mongodb://localhost:27017");
var database = client.GetDatabase("testDatabase");
var collection = database.GetCollection<BsonDocument>("myCollection");

var documents = new List<BsonDocument>
{
    new BsonDocument("name", "John").Add("age", 30),
    new BsonDocument("name", "Jane").Add("age", 25),
    new BsonDocument("name", "Doe").Add("age", 28)
};

await collection.InsertManyAsync(documents); In this asynchronous version, we use before calling , ensuring that the operation completes before moving on to the next line of code. This is especially important in web applications or services where blocking the main thread could lead to poor performance or user experience. await InsertManyAsync Best Practices for Efficiently Inserting Data This article is focused on the API usage of inserting data into MongoDB using C#, but I wanted to touch on a few other points. To improve the efficiency of data insertion in MongoDB, you can consider the following best practices: Batch Inserts: Instead of inserting one document at a time, you can batch multiple documents together and insert them in a single operation using InsertMany. This reduces the overhead of multiple round-trips to the database. Use Indexes: Indexes can significantly improve the insert performance by speeding up the search for the correct position to insert the new document. Ensure that you have appropriate indexes defined on the fields commonly used for insertion. Consider Sharding: If you have a large amount of data to insert, sharding can distribute the data across multiple servers, improving insertion performance. Write Concern: The default write concern in MongoDB is Acknowledged, which waits for an acknowledgment from the server. If you are performing bulk insertions and do not require immediate acknowledgment, you can set a lower write concern to improve performance. Consider Asynchronous Operations: Asynchronous operations can improve the responsiveness of your application by allowing multiple insert operations to be executed concurrently. Aside from asynchronous versions of these APIs which were mentioned earlier, I won’t be covering these other topics in more detail in this article. Stay tuned for upcoming articles where I cover these topics along with other functionality, such as updating documents in MongoDB and deleting records! Wrapping Up MongoDB in C# To recap, in this article, we explored the topic of writing data to MongoDB in C# using InsertOne and InsertMany APIs. We saw both the synchronous and asynchronous versions of these APIs in functional code examples. Some of the key takeaways: Understanding relational database vs document database characteristics Best practice considerations for performance Synchronous vs asynchronous APIs for inserting data to MongoDB in C# You should continuously improve your skills and stay updated with the latest technologies! If you found this useful and you’re looking for more learning opportunities, consider and check out my ! subscribing to my free weekly software engineering newsletter free videos on YouTube

Simplified Guide For Inserting Data Into MongoDB Using C#

I’ve been writing code for 20+ years, and along the way, I’ve written a ton of code that I needed to go back and refactor. It happens. In fact, it’s almost guaranteed if you want to keep a codebase alive as you’re evolving it. As a result, I’ve done a lot of r C# code and want to share with you some simple refactoring techniques that can be especially useful if you’re just getting started. efactoring 1 – Extract Method Refactoring code is an important skill for software engineers, as it helps improve the readability and maintainability of our codebase. One such technique that can greatly assist us in achieving this goal is the Extract Method technique. I use this so frequently that almost immediately after I write some code I do this! The Concept of Extract Method The Extract Method technique involves taking a block of code within a method and extracting it into a separate method. By doing this, we can improve the clarity and understandability of our code by breaking it down into smaller, more manageable pieces. Don’t wait until you have a 2000-line method before you figure out why this is helpful! To demonstrate this technique, consider the following example in C#: public class Calculator
{
    public int Add(int a, int b)
    {
        Console.WriteLine($"Adding {a} and {b}...");
        int result = a + b;
        Console.WriteLine("The result is: " + result);
        return result;
    }
} In the above code, the method is responsible for: Add Printing out the calculation info Performing the addition operation Displaying the result It’s a pretty simple method, but it’s doing a handful of things already. By applying the Extract Method technique, we can separate the concerns and create a new method solely responsible for displaying info. public class Calculator
{
    public int Add(int a, int b)
    {
        DisplayOperationInfo(a, b);
        int sum = a + b;
        DisplaySum(sum);
        return sum;
    }

    private void DisplayOperationInfo(int a, int b)
    {
        // TODO: could we go even further and pass in
        // the operation string?!
        Console.WriteLine($"Adding {a} and {b}...");
    }

    private void DisplayResult(int result)
    {
        Console.WriteLine("The result is: " + result);
    }
} In this particular case, this technique is not helping us reduce the duplication of existing code (right now), but it is helping us bring some organization to the code. Given that this is a very trivial example, the real benefit of this is hard to observe — I mean, I added more code overall to make this happen. However, I’m trying to illustrate that we can conceptually group code into methods for better expression of what we’re trying to achieve. It’s just hard to show super simple examples of this! Benefits of Extract Method Using the Extract Method technique provides several benefits. Firstly, it improves the readability of our code by creating smaller, self-explanatory methods that focus on a single responsibility. This makes it easier for other developers to understand and maintain the code. This is what I tried to illustrate in the example code prior. Secondly, it promotes code reusability. By extracting a block of code into a separate method, we can easily reuse it in multiple places within our codebase. This reduces duplication and enforces the DRY (Don’t Repeat Yourself) principle. If we go to add other operators to our calculator, we could re-use the DisplayResult method and even refactor the DisplayOperationInfo method to pass in a parameter for which operation we’re performing! Scenarios Where Extract Method is Useful The Extract Method technique is particularly useful in scenarios where: A block of code within a method is becoming too long and complex – By extracting the code into a separate method, we can make the original method more concise and easier to understand. Common functionality needs to be reused across different methods – Extracting the common functionality into a separate method promotes code reuse and eliminates duplication. A method is responsible for multiple concerns – By extracting specific parts of the method into separate methods, we can improve the clarity and maintainability of the code. The Extract Method technique that once you start using, it almost becomes second nature in how you’re coding. By breaking down complex methods into smaller, focused ones, we can create code that is easier to understand and maintain. technique is a fundamental refactoring 2 – Rename Variables and Methods Clear and descriptive names are important in software engineering as they enhance code readability and maintainability. We spend so much of our time as programmers reading code that it’s critical we understand how to write expressive and concise code. When naming variables and methods, it’s important to choose names that accurately reflect their purpose and functionality. But guess what? Things change and evolve. The awesome name you picked today might not be so awesome 12 months from now when you’re trying to read your code and understand what the heck is going on. That’s cool because not only does it show you’re growing and improving, but because we have tools that can make it easy for us to make such changes. Importance of Clear and Descriptive Names Naming variables and methods with clear and descriptive names enables other developers to quickly understand their purpose and how they are used. This not only improves the readability of the code but also makes it easier to maintain and debug. Consider the following example: int x = 10;
int y = 5;
int z = x + y; In this code snippet, it is not immediately clear what the purpose of the variables , , and is. By renaming the variables to more descriptive names, we can make the code more self-explanatory: x y z int dollarsFromJack = 10;
int dollarsFromJill = 5;
int totalSpendingMoney = dollarsFromJack + dollarsFromJill; Now, it is clear that and represent the numbers being added, and represents their result — AND we get some context for why we’re using these numbers in the first place. dollarsFromJack dollarsFromJill totalSpendingMoney Using Visual Studio to Rename When renaming variables and methods, it is important to follow a consistent naming convention. In C#, the common practice is to use PascalCase for method names and camelCase for variable names. But what happens if you picked a crappy name? What happens if you forgot about the naming conventions and need to go update the usage of something in 100 spots? In Visual Studio, we have access to a rename refactoring shortcut. By default, this is F2 on your keyboard. Simply: Highlight your variable that you want to rename Press F2 Type in your new awesome name Press enter … Profit! You can repeat this for many things like classes, interfaces, method names… You name it! (pun intended?) Renaming things is one of the safest types of refactoring that we can do *IF* (and this is a REALLY BIG IF) you are renaming across all of the areas that are consuming your code. So for really small projects, especially if you don’t any types by name or heavily use reflection, you’re probably okay if there’s nobody consuming your library. But if you’re creating a public API or otherwise can’t update all of the consuming code paths at the same time you’re renaming – You’re probably going to break things. dynamically load ! I do earn money from this course, and this is an affiliate link should you choose to purchase other courses on Dometain. Thank you for your support! Click here to get this course Naming Conventions and Best Practices Naming conventions are going to come down to stylistic choices that may vary from team to team. However, there’s handful of general tenets that apply when considering how you name: Use descriptive names that accurately reflect the purpose of the variable or method. Avoid using single-character or ambiguous names, as they can make the code harder to understand. Consider using nouns for variables and verbs for methods to make their purpose clear. Avoid using reserved words or common language constructs as names. Consider reducing redundancy in your names. Remember to discuss with your team about what things they value in naming and what styles they adhere to. 3 – Extract Interface The Extract Interface refactoring technique is another thing that I rely on heavily in my own development. It involves creating an interface that defines a contract for a certain set of methods or properties, and then extracting that interface from existing code. This technique can help increase modularity, improve code reusability, and enhance testability. I generally start with the class itself so I can focus on what I’ll need passed in and what I can provide back out, which I find helps me come up with a better API contract for the interface. Let’s consider an example where we have a class called that performs various mathematical operations: Calculator public class Calculator
{
    public int Add(int a, int b)
    {
        return a + b;
    }

    public int Subtract(int a, int b)
    {
        return a - b;
    }

    public int Multiply(int a, int b)
    {
        return a * b;
    }

    public int Divide(int a, int b)
    {
        return a / b;
    }
} In this case, we can extract an interface, let’s call it , which will define the contract for these mathematical operations: ICalculator public interface ICalculator
{
    int Add(int a, int b);

    int Subtract(int a, int b);

    int Multiply(int a, int b);

    int Divide(int a, int b);
} Once we have the interface, we can modify our class to implement it: Calculator public class Calculator : ICalculator
{
    public int Add(int a, int b)
    {
        return a + b;
    }

    public int Subtract(int a, int b)
    {
        return a - b;
    }

    public int Multiply(int a, int b)
    {
        return a * b;
    }

    public int Divide(int a, int b)
    {
        return a / b;
    }
} Now, instead of directly using the class, we can program to the interface by using : Calculator ICalculator public void Calculate(ICalculator calculator)
{
    int result = calculator.Add(5, 3);
    // Do something with the result
} And yes – I know this is a trivial example and an interface for this is likely overkill. However, remember that calculator I included at the beginning of these examples? The one that writes to the console? Yeah, if you wanted to swap that out for one that wasn’t blowing up your console output then you could at least! But in all seriousness, this is just to illustrate to beginners that the interface defines an API and the class has the implementation. Advantages of Extracting Interfaces There are several advantages to using interfaces in software design and development: Promote loose coupling between components – By programming to an interface rather than a specific implementation, you can easily swap out different implementations without affecting the rest of the codebase. This promotes flexibility and extensibility. Code reusability – By defining a contract through an interface, you can create multiple classes that implement that interface. This allows for the reuse of code across different classes and reduces duplication. Improve testability – With interfaces, you can easily create mock objects or stubs for testing purposes. This makes it simpler to write unit tests and verify the behavior of your code in isolation. When should you use the Extract Interface technique? It’s particularly useful when you have multiple classes that share a common set of methods or properties. By extracting an interface, you can ensure consistency among these classes and simplify their usage. Of course, if you program like me, you potentially over-use interfaces. Sometimes there’s no real benefit to slapping an interface onto a class. Truly. I’m the kind of person who likes to mock any dependency when I unit test (I have other tests for real dependencies), and I *still* don’t think it makes sense to use an interface with everything. So use your judgement! 4 – Simplify Conditional Expressions When writing code, it’s important to have clear and concise conditional expressions. Complicated conditionals can lead to confusion and make code harder to read and maintain. When conditionals are too big, they’re hard to understand. When conditionals are too compact with poorly-named acronym or single-character variables, they’re hard to understand. So strike the right balance of verbosity to get your intention expressed clearly. Use the Ternary Operator: The ternary operator is a concise way to write simple conditional expressions. It has the form . By using the ternary operator, you can replace if-else statements with a single line of code. condition ? trueExpression : falseExpression Here’s an example: bool isEven = (number % 2 == 0) ? true : false; What’s not a fun time? Stacking multiple of these together. Try to avoid that. Extract Complex Conditions into Separate Boolean Variables: If you have complex conditions with multiple logical operators, it can be challenging to understand their meaning at a glance. To improve readability, consider extracting the conditions into separate boolean variables with descriptive names. Here’s an example: bool hasEnoughStock = (quantity > 0 && stockCount > 0);
bool isEligibleForDiscount = (customerAge >= 60 || isEmployee);
if (hasEnoughStock && isEligibleForDiscount)
{
    // Apply discount logic here
} This code is much easier to read than trying to put all four conditions directly into the if statement, especially because we get added context with clear variable names! Use the Null-Conditional Operator: The null-conditional operator ( ) is a handy feature introduced in C# 6.0. It allows you to safely access members of an object, even if the object itself is null. This operator can simplify the null-checking code by avoiding unnecessary statements. ?. if Here’s an example: // Will be null if 'text' is null
int? length = text?.Length; This one is good to discuss with your teams first. The shorthand here may not be obvious to folks, especially if they’re not used to this syntax in the code base. Wrapping Up Refactoring C# Code In this article, I’ve covered 4 important C# code techniques for refactoring Extract Method Rename Variables and Methods Extract Interface Simplify Conditional Expressions These techniques are important for software engineers looking to improve the readability, maintainability, and overall quality of their code. Remember, refactoring code is not just about improving the aesthetics, but about making it easier to work with and maintain in the long run. If you found this useful and you’re looking for more learning opportunities, consider and check out my ! subscribing to my free weekly software engineering newsletter free videos on YouTube Also published . here

4 Essential Techniques Simplified for Refactoring C# Code

is my favorite programming language, and if you’re just starting out, I’m hopeful that I can be part of your learning journey! C# We’ll focus on C# for beginners here, so if you’re already familiar with how to write code in C# this is probably not for you. But if you’re just starting out… you’re in the right spot! Throughout this article, I’ll guide you through five , each with its own code example. These cover the very basics of C# to provide you with a solid foundation in C# programming. By the end of this article, you’ll not only understand these concepts but also be able to apply them in your first C# programs. beginner concepts in C# Let’s get started with these beginner C# concepts! Beginner Concepts in C# In this section, I’ll cover five beginner concepts in C# that are important for new to understand. These concepts form the basics of C# and are important for building robust and efficient applications. By understanding these concepts, you’ll be well on your way to writing your very own applications! software engineers Variables and Data Types in CSharp Variables are used to store and manipulate data in C#. They allow you to give names to values and refer to them later in your code. In C#, variables must have a data type, which defines the type of data that can be stored in that variable. Common data types in C# include integers (int), strings (string), and booleans (bool). Here’s an example of declaring and initializing variables: int age = 25;
string name = "John";
bool isStudent = true; In the above code, we declare three variables: of type int, of type string, and of type bool. We also initialize them with specific values. Understanding variables and is important for performing calculations, manipulating data, and representing real-world information in your programs. age name isStudent data types Conditionals and Loops in CSharp Conditionals and loops are important “control flow” structures in C# that allow you to make decisions and repeat sections of code based on certain conditions. Conditionals, such as if statements, enable you to execute a block of code only if a certain condition is met. Loops, such as and , allow you to repeat a block of code multiple times until a condition is no longer true. for while loops Here’s an example of using conditionals and loops in C#: int number = 10;

if (number > 0)
{
    Console.WriteLine("The number is positive.");
}
else if (number < 0)
{
    Console.WriteLine("The number is negative.");
}
else
{
    Console.WriteLine("The number is zero.");
}

for (int i = 0; i < 5; i++)
{
    Console.WriteLine("Iteration: " + i);
}

while (number > 0)
{
    Console.WriteLine("Number: " + number);
    number--;
} In the above code, we use an if statement to check whether is positive, negative, or zero. The for loop is used to iterate five times and print the current iteration number. The while loop prints the value of until it becomes zero. Conditionals and loops are powerful tools for controlling the flow of your program and executing code based on specific conditions. number number Methods and Functions in CSharp Methods and functions are reusable blocks of code that perform a specific task. They allow you to encapsulate functionality, improve code organization, and promote code reusability. Methods can take parameters, perform operations, and return values. In C#, methods are defined using the keyword if they don’t return a value or a specific return type if they do. void Here’s an example of creating and calling a method in C#: void Greet(string name)
{
    Console.WriteLine("Hello, " + name + "!");
}

int Add(int a, int b)
{
    return a + b;
}

Greet("John");
int sum = Add(2, 3); In the above code, we define a method that takes a parameter and prints a greeting message. We also define a method that takes two integer parameters and and returns their sum. We then call these methods with specific arguments. Methods and functions are important building blocks of C# programs and allow you to solve complex problems by breaking them down into smaller, manageable pieces. Greet name Add a b If you want to learn more about C#, I have a . Check it out! course for beginners published on Dometrain (affiliate link) Arrays and Lists in CSharp Arrays and lists are data structures used to store collections of elements in C#. Arrays have a fixed size, while lists can dynamically grow and shrink as needed. Both arrays and lists can store elements of the same type, such as integers or strings. They provide convenient ways to access, manipulate, and . iterate over collections of data Here’s an example of using arrays and lists in C#: int[] numbers = { 1, 2, 3, 4, 5 };
Console.WriteLine("First number: " + numbers[0]);

List<string> names = new List<string>();
names.Add("John");
names.Add("Jane");
names.Add("Alice");
Console.WriteLine("First name: " + names[0]); In the above code, we create an array that stores five integer values. We access and print the first number using the index . We also create a list that initially doesn’t contain any elements. We use the method to add three names to the list and access and print the first name using the index . One of the big differentiators between these two is that arrays are intended to be for fixed size collections and lists are designed to change in size. numbers 0 names Add 0 Arrays and lists are fundamental data structures in C# and are used extensively in various programming tasks. I use them every single day! Classes and Objects in CSharp Classes and objects are the foundation of object-oriented programming (OOP) in C#. A class is a blueprint or template that defines the structure and behavior of objects, whereas an object is an instance of a class. Classes allow you to model real-world entities and define their properties (fields) and actions (methods). Objects can be created from classes and have their own unique state and behavior. Here’s an example of creating a class and an object in C#: class Car
{
    string brand;
    int year;

    public Car(string brand, int year)
    {
        this.brand = brand;
        this.year = year;
    }

    public void StartEngine()
    {
        Console.WriteLine("Engine started for " + brand);
    }
}

Car myCar = new Car("Toyota", 2021);
myCar.StartEngine(); In the above code, we define a class with a field and a field. We also define a constructor that sets the initial values of these fields. The method starts the engine for the car and prints a message. We create an object of type using the constructor and call the method on it. Classes and objects allow you to create modular and reusable code in C#, enabling you to build complex systems with ease. Car brand year StartEngine myCar Car StartEngine Wrapping Up C# For Beginners We’ve explored five beginner concepts in C# and you’ve been provided with some simple code examples to illustrate each one. Each of these concepts help to cover some of the fundamentals of C#, and in fact, you’ll find variations of these in other programming languages as well. We started by discussing the concept of variables and data types, highlighting the importance of properly defining and using them in C# programs. Next, we checked out control flow statements, which allow us to make decisions and repeat actions based on certain conditions. We then explored the concept of arrays and lists, which enable us to store and manipulate collections of related data items. Functions were next on our list where we learned how to encapsulate reusable code blocks. And lastly, I discussed the concept of classes and objects, which form the basis of object-oriented programming in C#. I encourage you to continue your learning journey with C#. There is always more to explore and discover in this language, and after nearly two decades of using it, I still learn every day. If you found this useful and you’re looking for more learning opportunities, consider and check out my ! subscribing to my free weekly software engineering newsletter free videos on YouTube Also published here.

5 Simplified Concepts For Beginners in C#

This guide sheds light on the workings of Virtual Private Networks (VPNs). While commercial providers often overpromise, it's essential to grasp the fundamental mechanisms behind their capabilities. We'll use plain-language explanations and simplified Python code samples to illustrate core principles. These simulations showcase concepts on a smaller scale—true VPNs implement IP masking, encryption, and tunneling at deeper system levels for robust real-world protection. Important Note: Core VPN Fundamentals IP Address Masking What IP masking is Terminology: IP Obfuscation, Proxy Simplified Python Simulation Data Encryption Encryption as a data scrambler; emphasis on confidentiality. Terminology: Encryption protocols (AES, etc.) Simplified Python Simulation Secure Connections (Tunneling) The "private pipe" analogy for establishing secure tunnels. Terminology: Tunneling protocols (OpenVPN, Wireguard, etc.) Simplified Python Simulation What VPNs Can (and Cannot) Do Enhanced Online Privacy Secure Data Transmission Bypassing Geo-restrictions (no complete anonymity, malware protection, etc.)' Limitations of VPNs 1. IP Address Masking Mechanism Explanation Picture your internet traffic as letters you want to mail. Your IP address is your return address on these letters—and your ISP (Internet Service Provider) is like your local post office. They handle and see all your internet traffic coming and going. VPNs act like a special postal forwarding service. When you connect to a VPN, your letters get rerouted through their hub - the VPN server. Now, instead of your home address, those letters bear the address of the VPN's postal hub. That's how websites see the VPN server's IP instead of yours. Think of "masking" as putting on a disguise. IP masking hides your real IP address, making it harder to link your online activity back to you directly. IP Obfuscation/Masking: A proxy is like a temporary middleman. For this example, a proxy server will briefly make it look like your internet traffic is coming from location instead of yours. Proxy: its Simplified Python 'Simulation' Example While Python can't truly change your machine's IP, we can mimic the idea with a proxy: import requests Simulating IP Masking by Using a Proxy proxy = {
  "http": "http://your-proxy-address:port",
  "https": "http://your-proxy-address:port",
} url = "http://ipinfo.io/ip"
response = requests.get(url, proxies=proxy)
print("Masked IP Address:", response.text.strip()) 2. Data Encryption Mechanism Explanation Imagine your internet data as letters containing sensitive information. Data encryption is like scrambling those letters into a secret code using complex math puzzles. To make sense of the scrambled message, you need a special key. VPNs use tough encryption methods to turn readable data (like login details or bank info) into this messy code. If anyone (like a snoop on public Wi-Fi) tries to peek at your traffic, all they find is gibberish. Only you and the VPN server have matching keys to 'lock' (encrypt) and 'unlock' (decrypt) the data. Shared Secrets: Simplified Python 'Simulation' Example Python won't mimic true VPN encryption, but let's see the principle: import socket
import ssl Create a Secure Socket Using SSL context = ssl.create_default_context(ssl.Purpose.CLIENT_AUTH)
secure_socket = context.wrap_socket(socket.socket(socket.AF_INET), server_hostname="www.example.com") secure_socket.connect(("www.example.com", 443))
secure_socket.sendall("GET / HTTP/1.1\ Host: www.example.com\ ".encode()) Receive Data Securely response = secure_socket.recv(4096)
print(response.decode()) secure_socket.close() Real VPNs use encryption (like AES) that's far harder to crack than our example. Strong Encryption: Terminology: Encryption Protocols (AES, etc.) AES (Advanced Encryption Standard): Commonly used in VPNs, renowned for its strong security. Key Points Encryption makes it extremely difficult for outsiders to understand intercepted data. This ensures sensitive information stays safe in transit, especially on public networks. 3. Secure Connections (Tunneling) Mechanism Explanation: VPN tunneling involves encapsulating and encrypting each data packet sent over the internet between your device and the VPN server. This secure "tunnel" prevents outsiders from intercepting, viewing, or modifying the transmitted data. Tunneling protocols, like OpenVPN, establish this secure connection by using encryption and other security measures. Python Sample Code: Simulating a VPN tunnel in Python is complex and beyond the scope of simple scripts due to the networking and system-level operations involved. However, you can use Python to create a basic secure connection using SSL with the library. socket import socket
import ssl Create a Secure Socket Using SSL context = ssl.create_default_context(ssl.Purpose.CLIENT_AUTH)
secure_socket = context.wrap_socket(socket.socket(socket.AF_INET), server_hostname="www.example.com") secure_socket.connect(("www.example.com", 443))
secure_socket.sendall("GET / HTTP/1.1\ Host: www.example.com\ ".encode()) Receive Data Securely response = secure_socket.recv(4096)
print(response.decode()) secure_socket.close() Key Points Tunneling defends against snooping, data tampering, and other risks associated with untrusted networks. Terminology: Tunneling Protocols (OpenVPN, Wireguard, etc.) Popular, flexible, and secure. OpenVPN: Newer, highly streamlined protocol gaining favor for speed and security. WireGuard: Core network-level protocol often used to secure VPN tunnels. IPsec: What VPNs Can (and Cannot) Do VPNs Enhance Your Online Experience IP masking and data encryption make it substantially harder for advertisers, your Internet Service Provider (ISP), and potential snoopers to connect your online actions back to you. Enhanced Online Privacy: Vital on public Wi-Fi! A VPN safeguards your logins, financial details, and other sensitive information that could be easily intercepted on an unsecured network. Secure Data Transmission: If a streaming service, website, or online content is region-locked, connecting to a VPN server in the appropriate location often helps you access as if you were there. Bypassing Geo-restrictions: What VPNs Cannot Do Although they make you much harder to pinpoint, factors like browser fingerprinting, cookies, or your online behavior patterns can still leave traces. Guarantee Complete Anonymity: A VPN secures your connection, but it's not a cure-all. Downloading infected files or falling for phishing links remains dangerous, even when using a VPN. Protect Against All Forms of Malware and Phishing Attacks: A VPN is one powerful layer of protection but doesn't substitute common-sense online safety. Stay vigilant about suspicious websites, links, and emails. Always be cautious, even when connected to a VPN. Eliminate the Need for Safe Browsing Practices: Important to Remember When selecting a VPN provider, carefully consider their reputation, features, logging policies, and commitment to user security. Not all VPN services are equal in the protection they provide. It's wise to thoroughly research options before investing your trust.

How VPNs Work: A Simplified Breakdown for Non-Techies

There are several skills we can add to our existing repository as full-stack developers, especially when you are progressing from junior, to mid to senior level. Areas like CI/CD, AWS, DevOps, Kubernetes, etc tend to be the least of worries for entry-level developers since writing quality code is the paramount focus at that point. I have come to realize that all code can be critiqued depending on who is reviewing it. This article is meant for Full-stack developers who are entry or mid-level and want to add some extra skills to their sleeves. I have simplified it as much as possible to the best of my knowledge for those looking to hit the ground running ASAP with CI/CD. What is CI/CD? CI/CD is a continuous method of , where you continuously build, test, deploy, and monitor iterative code changes. More here: software development https://docs.gitlab.com/ee/ci/ Why do we need CI/CD? This iterative process helps reduce the chance that you develop new code based on buggy or failed previous versions. GitLab CI/CD can catch bugs early in the development cycle, and help ensure that all the code deployed to production complies with your established code standards. This technique is very important when you have more than one developer working on the same code base. For example: “developer A” makes changes to the code bases and merges the branch which he(developer A) worked on. Now “developer B” also makes changes that break the code but pushes changes to the branch without rebasing the branch with the notion that “developer A” has not merged or there are no errors. This mechanism will flag the error in the pipeline as soon as “Developer B” tries to rebase and merge. This maintains the integrity of the code at all times as different developers keep making changes to the code base. Developer B will not be able to merge until he/she researches the cause of the error and fixes it. How to implement CI/CD on Gitlab We are going to build a simple React application and use that as an example to help us understand the concept properly. Visit Gitlab and create a repository, the repository will contain a and readme .gitlab-ci.ym For the sake of this tutorial let's focus on .gitlab-ci.yml Clone the repository and check into it git clone my-tutorial

cd my-tutorial Create a simple react application in the directory npx create-react-app my-app In this tutorial we will build 2 simple and 1 simple these are: , and respectively. CI CD Build, Test Deploy Before we proceed to build our first CI, Build, let us first study how the syntax works. uses YAML format. .gitlab-ci-yml .gitlab-ci-yml To do so let’S visit: https://docs.gitlab.com/ee/ci/yaml Now, let us build our first called . The purpose of this is to make sure the application still runs even after developers make changes to it. CI Build Visit and add the following properties. .gitlab-ci-yml variable:
  HEROKU_APP_NAME: "MyHerokuAppName"
  HEROKU_PRODUCTION_KEY: "MyHerokuAppKey"
  LATEST_NODE: node:latest
/* Stages determines the order in which the application should run, if not defined,
the runners will run in parallel. When defined the runners follow the order defined in the stages
In our case build runs before test and test runs before deploy.*/
stages:
  - build
  - test
  - deploy
// build, jest and deploy properties represent the name of the runners in the pipeline.
build:
  image: $LATEST_NODE
  stage: build // maps to the order in which the pipeline should run as specified in stages
  before_script:
  - yarn install
  script:
  - yarn run build
  - echo Build successful !
  allow_failure: true // if you don't want pipeline to fail when this job fails
jest:
  image: LATEST_NODE
  stage: test
  script: yarn run jest
  allow_failure: true
deploy:
  stage: deploy
  script:
    - yarn install dpl
    - dpl --provider=heroku --app=$HEROKU_APP_NAME --api-key=$HEROKU_PRODUCTION_KEY That’s it for now! In our subsequent article, we shall look into the implementation of the same concept using Jenkins

Mastering CI/CD: A Simplified Guide for Entry and Mid-Level Full-Stack Developers

Decision Trees theory is a method used in and data analysis that allows building decision-making models with tree-shaped hierarchy. In each node of the tree, a certain criterion is being checked, and leaves represent final decisions or predicted outcomes. Such trees have high interpretability and can be used for solving classification and regression tasks. machine learning Digging a bit deeper into this theory, it’s pretty easy to find out that: Nodes can be split not just by one criterion but by several as well. It is not necessary to use just one of the criteria implemented in the commonly used sci-kit-learn library for branching. The node can be split into more than two branches. Logical question to arise would be: isn’t there anything better than regular decision trees? And the answer to this question would be: yes, there is—but with its own nuances. Despite the great popularity of deep learning, researchers are still widely working on improving the . Among these “upgrades” are so-called oblique decision trees. In a regular tree, each node has a splitting rule by a single feature, while in oblique trees, each node contains rules based on a combination of several features. The simplest example of a combination is linear—let’s take a closer look at it. decision trees Oblique decision trees Oblique decision trees allow performing node splitting based on a combination of features instead of just one feature. This linear combination can improve the generalization performance of the model by combining the advantages of individual trees. Let us imagine that we have a classification task based on two features with the elements of the training sample that are distributed like in the image below (different classes are marked by different colors). Understandably, the researchers will be eager to identify such situations and use tilted or oblique, straight lines—which represent a linear combination of features—to divide the space. In regular trees, the splitting rules are interpreted in the graphic form as horizontal or vertical straight lines. Oblique tree types, on the other hand, can create diagonal decision boundaries in the space of features, which may be more appropriate for certain datasets. It is because of the oblique division lines these types of trees are called oblique. Oblique decision trees can be used in various fields of machine learning and data analysis, where regular decision trees don’t bring significant results. Here are some examples of such areas: In datasets where decision boundaries are not axially parallel, oblique trees may be more effective at separating classes or detecting nonlinear dependencies. Complex data spaces. In situations where you have many attributes and some of them may be correlated, oblique trees can provide more accurate models because they can account for combinations of attributes. High-dimensional data. Oblique trees may be more complex than regular decision trees, but they still retain a tree structure that can be visualized and interpreted. Areas that require interpretability. , oblique trees can be used for both classification and regression tasks. Classification and regression tasks. Similar to standard decision trees It is worth noting that, as a rule, oblique trees are lower in height yet require significantly more time for training to reach the quality of regular trees. But if you are willing to sacrifice time on training in favor of better quality predictions, you can experiment with them as well. Random trees Considering random trees, ), we can tell that the methodology is well developed. There are algorithms for creating optimal random trees, but in practice, such methods as random forest and, to a higher extent, boosting outperform individual trees. For a random forest to perform effectively, it is important that the trees are uncorrelated and have good generalization performance. Under these conditions, oblique trees show statistically significantly superior results. when we see that a splitting occurs in a tree node, a random subset of features is selected as candidates for the splitting rather than all available features Advantages of Double Random Forest (DRaF) Let’s take a closer look at the method of building a DRaF-LDA (Rotation-based double random forest with linear discriminant analysis). It is different from a classic random forest (Classification and regression trees, or CART) in two ways. In the CART algorithm, bootstrapping is supposed to be performed at the initial step, and start building a tree using the resulting dataset and reducing the sample at each step down on the tree. In DRaF, bootstrapping of all data is performed directly for each individual node, taking into account the limitations of the previous node splitting occurrences. Bootstrapping. In the case of CART, a subset of features is selected for node splitting, among which the best possible node splitting variant is chosen. In DRaF-LDA, as it is easy to guess, the Linear Discriminant Analysis (LDA) algorithm is used for node partitioning. LDA allows performing better splitting than one single feature. Node splitting. Using these two “deviations” from the classic tree-building algorithm for a random forest allows for generating trees that are better in quality and uncorrelated. This gives a gain in quality for the random forest algorithm. There are numerous approaches to forming linear combinations of features for splitting. To learn more about the existing variants you can read the article titled “ ,” written by M.A. Ganaie, M. Tanveer, P.N. Suganthan and V. Snasel. Oblique and rotation double random forest In the article, the researchers proposed a new variant of the forest (trees) that has a statistically significant improvement in prediction quality compared to a common implementation. The research of classic is still ongoing, sometimes even making interesting advances. This is why it’s better not to stick to the default libraries and instead keep studying the subject area and choosing the most suitable algorithms for your tasks. Perhaps it is oblique trees that will work well in your case. machine learning algorithms

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