LINQ has a trick up its sleeve from .NET 4 onwards for dealing with large amounts of data and multiple CPUs. Learn to leverage LINQ.
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LINQ is a natural fit for parsing web log files. Chetan Jagatkishore Kothari and Shalini Nautiyal provide an overview of analyzing a log file using LINQ based Log Parser.
Parallel LINQ (PLINQ) has been introduced in .NET Framework 4.0, as part of the parallel programming features. In most scenarios Parallel LINQ is supposed to increase performance but in some cases a sequential operation would be a better option. Read on to learn more...
In making parallel computing more accessible, Microsoft has also made asynchronous execution more accessible. Nowhere is this fact more apparent than in technologies built from the ground up on these new asynchronous capabilities. Take, for example, Reactive Extensions (Rx); a set of libraries built on LINQ and the Task Parallel Library (TPL).
LINQ - Language Integrated Query is one of the most exciting and powerful extensions added by Microsoft to the .NET framework. This article talks about a few ways that can help you improve your classical C# programming using LINQ, whose success relies on the easy way it allows developers to use SQL like syntax to query all kinds of data.
Make use of the Repository Pattern to break the dependencies between your application's domain model and data access code.
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It's essential to know the differences in these libraries and use them correctly. This brief tutorial will guide you.
With facilities to search, copy, extract segments, and more, the array class can handle pretty much any task you need to perform with ease.
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If you have written solid code, you have accomplished one half of the objective. Solid code is the protagonist, or hero, of our story, but testing is the more sedate side kick that often saves the day after the hubris of the hero has almost certainly lead to calamity.