var results = data.AsParallel() .Where(x => x.ComplexFilter()) .Select(x => x.Compute()); MEF solved the problem of discoverable, runtime composition. Instead of hard-coded dependencies, MEF allowed applications to declare imports and exports declaratively. This enabled plugin architectures and modular applications without custom reflection code.

dynamic doc = GetWordApplication(); doc.Open("file.docx"); // No compile-time type checking With the rise of multi-core processors, traditional threading models ( Thread , ThreadPool ) became cumbersome. The TPL introduced Task and Task<TResult> as higher-level abstractions. PLINQ (Parallel LINQ) allowed automatic parallelization of LINQ queries. This reduced parallel programming errors (deadlocks, race conditions) by shifting complexity to the runtime.

using System; using System.Threading.Tasks; class ParallelExample { static void Main() { // Parallel for loop Parallel.For(0, 100, i => { Console.WriteLine($"Iteration {i} on task {Task.CurrentId}"); });

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4.0 [best] | Net. Framework

var results = data.AsParallel() .Where(x => x.ComplexFilter()) .Select(x => x.Compute()); MEF solved the problem of discoverable, runtime composition. Instead of hard-coded dependencies, MEF allowed applications to declare imports and exports declaratively. This enabled plugin architectures and modular applications without custom reflection code.

dynamic doc = GetWordApplication(); doc.Open("file.docx"); // No compile-time type checking With the rise of multi-core processors, traditional threading models ( Thread , ThreadPool ) became cumbersome. The TPL introduced Task and Task<TResult> as higher-level abstractions. PLINQ (Parallel LINQ) allowed automatic parallelization of LINQ queries. This reduced parallel programming errors (deadlocks, race conditions) by shifting complexity to the runtime. net. framework 4.0

using System; using System.Threading.Tasks; class ParallelExample { static void Main() { // Parallel for loop Parallel.For(0, 100, i => { Console.WriteLine($"Iteration {i} on task {Task.CurrentId}"); }); var results = data

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