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remonkoopmans

Performance and the Entity Framework - CodeProject - 0 views

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    If you are using the Entity Framework (EF), then you need to understand the best practices for improving its performance, or you will suffer the consequences!
Steven van Dijk

Best Practices for Linq Enumerables and Queryables « Zeros, Ones and a Few Twos - 0 views

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    LINQ expressions and their associated extension methods have greatly improved developer productivity ever since their introduction in .NET 3.5. Unfortunately, like any code abstraction, it can hide execution details that can come back to haunt you in performance problems and odd behavior.
Steven van Dijk

Is The Death Of JavaScript Upon Us, Or Is A Universal Language Transformation Underway? - 0 views

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    "Today, JavaScript is no longer a startup, and it's no longer just startups that are using it. Companies of all sizes and levels of maturity build applications for the browser, and JavaScript is the language they use to build them. The demands that were once placed on languages like C/C++ and Java are now shifting to JavaScript, and that shift is exposing the language's limitations: performance and maintainability."
Steven van Dijk

Syntactic Sugar and the Async Pill - 0 views

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    "Asynchrony is essential  for scalability and performance on the server side. Although it has always been possible to write asynchronous code, there has, up to now, been a downside: it is difficult to understand and maintain. Now, with the async/await. keywords, the whole approach is radically simplified for the programmer."
Steven van Dijk

Mailinator(tm) Blog: I Further Predict the Death of Your Web Framework - 0 views

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    But there is another technological shift conspiring against many web frameworks that isn't focused on performance, but instead focused on "ease of use" - which in many cases may hit far closer to home.  That shift is the reorganization of MVC. 
Steven van Dijk

A Beginner's Guide to Big O Notation « Rob Bell - 0 views

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    Big O notation is used in Computer Science to describe the performance or complexity of an algorithm. Big O specifically describes the worst-case scenario, and can be used to describe the execution time required or the space used (e.g. in memory or on disk) by an algorithm. [..] Hopefully this article will help you gain an understanding of the basics of Big O and Logarithms.
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