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In computer science, syntactic sugar is syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use: things can be expressed more clearly, more concisely, or in an alternative style that some may prefer.
Operator overloading is syntactic sugar, and is used because it allows programming using notation nearer to the target domain [1] and allows user-defined types a similar level of syntactic support as types built into a language. It is common, for example, in scientific computing, where it allows computing representations of mathematical objects ...
Authors often introduce syntactic sugar, such as let, [k] to permit writing the above in the more intuitive order let f = N in M. By chaining such definitions, one can write a lambda calculus "program" as zero or more function definitions, followed by one lambda-term using those functions that constitutes the main body of the program.
The Health Resources and Services Administration's National Center for Health Workforce Analysis projects a 10% shortage of RNs in 2026 and 2031, dropping to 9% in 2036, based on a report released ...
A decorator is passed the original object being defined and returns a modified object, which is then bound to the name in the definition. Python decorators were inspired in part by Java annotations, and have a similar syntax; the decorator syntax is pure syntactic sugar, using @ as the keyword:
Meet the experts: Shannel Kassis Elhelou, PsyD, is a geropsychology and neuropsychology fellow at the Pacific Neuroscience Institute’s Brain Wellness and Lifestyle Programs at Providence Saint ...
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List comprehension is a syntactic construct available in some programming languages for creating a list based on existing lists. It follows the form of the mathematical set-builder notation (set comprehension) as distinct from the use of map and filter functions.