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Introduction to Task.WaitAll and Task.WhenAll
Tasks are essential components of asynchronous programming in C#. The Task class provides a powerful way to represent asynchronous operations and manage them efficiently. In this article, we will explore two important methods related to tasks: WaitAll and WhenAll.

Problem Statement: How do we wait for multiple tasks to complete?

Solution: We can use the WaitAll and WhenAll methods to wait for multiple tasks to complete. Let’s explore each method in depth.

Task.WaitAll

Task.WaitAll is a static method that blocks the calling thread until all the specified tasks complete execution.

Task.WhenAll

Task.WhenAll is a static method that returns a single task that represents the completion of all the specified tasks. It does not block the calling thread and is a more flexible alternative to WaitAll.

Setting the Stage: The Multithreaded Universe of C#

In the ever-expanding universe of software development, efficiency and responsiveness are the stars that guide our path. Imagine navigating a spaceship through the cosmos, where each star system represents a task to be completed. Your mission: to explore as many systems as possible in the least amount of time. In C#, this cosmic journey is paralleled by the challenge of managing multiple asynchronous operations simultaneously. Enter the realms of Task.WaitAll and Task.WhenAll, two powerful constructs that help developers manage concurrent tasks efficiently.

So in summary:

Use WaitAll for simple sync code
Use WhenAll for robust async code

Real-World Use Cases

1. Parallel Processing: You can use Task.WhenAll to wait for multiple tasks to complete when performing parallel processing. For example, if you’re downloading files from multiple sources, you can use Task.WhenAll to efficiently wait for all downloads to complete before continuing with further processing.

2. Web Scraping: When scraping data from multiple web pages concurrently, you can use Task.WhenAll to asynchronously wait for all scraping tasks to complete.

3. Data Processing: If you’re processing large amounts of data and you want to divide the workload among multiple tasks, you can use Task.WhenAll to efficiently manage the completion of all tasks and proceed with further analysis once all tasks are done.

4. Background Tasks: In a web application, you can use Task.WhenAll to manage multiple background tasks and ensure they all complete successfully before performing further processing.

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