Examples of using Reactive programming in English and their translations into Serbian
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A modern spreadsheet program is an example of reactive programming.
It is possible to fuse reactive programming with ordinary imperative programming. .
If an OORP programming language maintains its imperative methods,it would also fall under the category of imperative reactive programming.
True dynamic reactive programming however could use imperative programming to reconstruct the data flow graph.
Topics of this course are architectural styles, integration techniques and patterns, domain driven design,event driven architecture and reactive programming.
Functional Reactive Programming(FRP) is a framework for reactive programming in a functional setting.
For example, the observer pattern commonly describes data-flows between whole objects/classes,whereas object-oriented reactive programming could target the members of objects/classes.
Reactive programming has principal similarities with the observer pattern commonly used in object-oriented programming. .
For example, in implicitly lifted functional reactive programming(FRP) a function call might implicitly cause a node in a data flow graph to be constructed.
Reactive programming could be said to be of higher order if it supports the idea that data flows could be used to construct other data flows.
Object-oriented reactive programming(OORP) is a combination of object oriented programming and reactive programming. .
Reactive programming can be purely static where the data flows are set up statically, or be dynamic where the data flows can change during the execution of a program.
On the other side, reactive programming is a form of what could be described as"explicit parallelism", and could therefore be beneficial for utilizing the power of parallel hardware.
Reactive programming languages can range from very explicit ones where data flows are set up by using arrows, to implicit where the data flows are derived from language constructs that look similar to those of imperative or functional programming. .
Here differentiated reactive programming could potentially be used to give the spell checker lower priority, allowing it to be delayed while keeping other data-flows instantaneous.
Reactive programming libraries for dynamic languages(such as the Lisp"Cells" and Python"Trellis" libraries) can construct a dependency graph from runtime analysis of the values read during a function's execution, allowing data flow specifications to be both implicit and dynamic.
One inherent problem for reactive programming is that most computations that would be evaluated and forgotten in a normal programming language, needs to be represented in the memory as data-structures.
Functional reactive programming(FRP) is a programming paradigm for reactive programming on functional programming. .
One inherent problem for reactive programming is that most computations that would be evaluated and forgotten in a normal programming language, needs to be represented in the memory as data-structures.
However, while constraint imperative programming manages bidirectional constraints, reactive imperative programming manages one-way dataflow constraints.
Such a set-up is analogous to constraint imperative programming; however,while constraint imperative programming manages bidirectional constraints, reactive imperative programming manages one-way dataflow constraints.