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Since its debut in C# 3.0, Language-Integrated Query (LINQ) has reshaped the way C# developers handle data. LINQ allows seamless querying across various data sources like collections, databases, and XML, directly within C#. With each C# release, LINQ has been enhanced to bring more power and flexibility to developers. This blog explores the new methods and capabilities added in each version, demonstrating how LINQ has evolved to meet the demands of modern applications. What is LINQ? LINQ (Language-Integrated Query) is a set of powerful query capabilities embedded into C# that enable developers to interact with data in a SQL-like syntax. By providing direct access to query operations such as filtering, sorting, grouping, and projecting, LINQ simplifies data manipulation, making code more readable and expressive. The LINQ Journey: From C# 3.0 to C# 10.0 Let’s embark on a journey to see how LINQ has grown over the years, with each version bringing new tools that make data handling more

  If you’re wondering whether async/await and multithreading can be used interchangeably, the answer is "not quite." While both are tools for handling tasks concurrently, they serve different purposes. Let's dive into why we need both and why they aren’t suited for the same examples. Key Difference: Task Type Matters To put it simply: Async/await is best for I/O-bound tasks that require waiting (e.g., network requests, file reading). Multithreading shines with CPU-bound tasks that require parallel processing power (e.g., data calculations, algorithms). They’re not interchangeable because each is optimized for different types of work. Using one in the wrong scenario can lead to inefficient code and wasted resources. Example: Downloading Content from Multiple URLs Let’s look at a real-world scenario: downloading content from multiple URLs. Since downloading involves making HTTP requests, this is an I/O-bound task — it mostly waits for the server’s response. Async/await

 In any application, error handling is the gatekeeper of smooth user experiences. It keeps our apps functional, stable, and user-friendly. But without a well-thought-out approach, error handling can quickly become a tangle of try-catch blocks scattered throughout the codebase, leading to messy, hard-to-maintain applications. Let’s uncover the secrets to handling errors globally in .NET applications and explore multiple approaches to keeping your error management neat, powerful, and highly maintainable. By the end of this post, you’ll have a toolkit of effective strategies, leaving you more confident in maintaining resilient applications. Approach 1: Using Custom Exception Middleware Middleware in .NET is a powerful component for centralized processing, and using a custom exception-handling middleware provides a straightforward way to handle errors globally. Instead of cluttering the code with try-catch blocks, we use middleware to capture and process exceptions centrally. Why This