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Increased readability and maintainability.
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These characteristics bring a number of benefits, including the following: The primary reason to implement functional transformations as pure functions is that pure functions are composable: that is, self-contained and stateless. However, the programming constructs introduced by LINQ to XML, C#, and Visual Basic allow you to write pure functional transformations that are more readable and maintainable than XSLT. Pure functional programming with LINQ to XML is similar in many ways to XSLT. However, XSLT has proved the value of using a pure functional approach for transforming XML from one shape to another. For more information about XSLT, see XSLT Transformations.
#Function vs onto vs one to one code#
Also, the heavy reliance on recursion for flow control can result in code that's hard to read. For example, expressing programming constructs in XML makes code relatively verbose, and therefore difficult to maintain. However, although XSLT is an effective tool, some of its characteristics aren't optimal. XSLT doesn't allow side effects (with the exception that escaping mechanisms for executing procedural code can introduce side effects that result in functional impurity). The order of execution is completely de-emphasized. The most effective way to develop an XSLT style sheet is to treat each template as an isolated, composable transformation. Many XSLT developers are familiar with the pure functional approach.
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LINQ technology is a form of declarative, functional programming. Furthermore, C# and Visual Basic include explicit language extensions to support functional programming, including lambda expressions and type inference. For example, most languages that contain function pointers can be used to credibly support functional programming. Loops, conditionals, and function (method) calls.įunctions as first-class objects and data collections.Īlthough most languages were designed to support a specific programming paradigm, many general languages are flexible enough to support multiple paradigms. What information is desired and what transformations are required.
#Function vs onto vs one to one how to#
How to perform tasks (algorithms) and how to track changes in state. The following table describes some of the general differences between these two approaches. You define carefully the input to each function, and what each function returns. In contrast, a functional approach involves composing the problem as a set of functions to be executed. This is sometimes referred to as algorithmic programming. With an imperative approach, a developer writes code that specifies the steps that the computer must take to accomplish the goal. In contrast, most mainstream languages, including object-oriented programming (OOP) languages such as C#, Visual Basic, C++, and Java, were designed to primarily support imperative (procedural) programming. Functional programming is a form of declarative programming. The functional programming paradigm was explicitly created to support a pure functional approach to problem solving. This article compares and contrasts functional programming with more traditional imperative (procedural) programming.