What is Dynamic Language Runtime or DLR in asp.net 4.0
What is Dynamic Language Runtime or DLR in asp.net 4.0
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The Dynamic Language Runtime (DLR) is a component introduced in the .NET Framework 4.0 that provides a common infrastructure for running dynamic programming languages on the .NET platform. The DLR provides a set of services that simplify dynamic language implementation and enable integration with the .NET Framework and libraries.
DLR supports dynamic dispatch, object binding, and dynamic code generation. This allows dynamic languages to run directly on the .NET common language runtime (CLR) without the need to generate or compile intermediate language (IL). This allows dynamic languages to maintain their dynamic nature while achieving performance comparable to statically typed languages. With ASP.NET 4.0, you can use the DLR to develop ASP.NET applications using dynamic programming languages such as IronPython and IronRuby. You can use dynamic languages in the DLR to create web applications, create custom controls, and extend existing web controls. The DLR also provides integration with the ASP.NET infrastructure, allowing dynamic languages to access the same request/response pipeline as ASP.NET pages.
Overall, the DLR provides a powerful and flexible platform for dynamic programming languages that run on the .NET Framework, enabling developers to build web applications and other .NET-based solutions using their language of choice. to
The dynamic language runtime (DLR) is a runtime environment that adds a set of services for dynamic languages to the common language runtime (CLR). The DLR makes it easier to develop dynamic languages to run on the .NET Framework and to add dynamic features to statically typed languages.
Most dynamic languages provide the following advantages for developers:
· The ability to use a rapid feedback loop (REPL, or read-evaluate-print loop). This lets you enter several statements and immediately execute them to see the results.
· Support for both top-down development and more traditional bottom-up development. For example, when you use a top-down approach, you can call functions that are not yet implemented and then add underlying implementations when you need them.
· Easier refactoring and code modifications, because you do not have to change static type declarations throughout the code.