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https://github.com/filonenkodima/asynchronousandplinq

AsynchronousAndPLINQ is a project focused on demonstrating the use of asynchronous programming and Parallel LINQ (PLINQ) in .NET. The project provides examples and exercises that illustrate how to leverage these techniques to improve the performance and responsiveness of .NET applications.
https://github.com/filonenkodima/asynchronousandplinq

csharp parallel parallel-programming

Last synced: 11 months ago
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AsynchronousAndPLINQ is a project focused on demonstrating the use of asynchronous programming and Parallel LINQ (PLINQ) in .NET. The project provides examples and exercises that illustrate how to leverage these techniques to improve the performance and responsiveness of .NET applications.

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# AsynchronousAndPLINQ

## About the Project
AsynchronousAndPLINQ is an educational project aimed at exploring asynchronous programming and Parallel LINQ (PLINQ) in .NET. The project includes examples that demonstrate how to write efficient, responsive, and parallelized applications using asynchronous methods and PLINQ. It serves as a practical guide for developers looking to enhance their understanding and skills in these advanced .NET programming techniques.

## Purpose of the Project
- Learned and applied asynchronous programming patterns in .NET to improve application responsiveness.
- Explored Parallel LINQ (PLINQ) for data processing tasks, leveraging multiple cores for parallel execution.
- Demonstrated how to combine asynchronous methods with PLINQ to build high-performance applications.
- Provided examples and exercises for learning and practicing asynchronous programming and PLINQ.

## Key Concepts Covered
- Asynchronous Programming: Using async and await keywords to handle long-running tasks without blocking the main thread.
- PLINQ (Parallel LINQ): Applying parallelism to LINQ queries to speed up data processing by utilizing multiple CPU cores.
- Task-Based Asynchronous Pattern (TAP): Implementing asynchronous operations using the Task class.
- Concurrency and Parallelism: Understanding the difference and how to effectively apply each in .NET applications.
- Error Handling in Async Code: Best practices for managing exceptions and errors in asynchronous methods.