July 2018
Beginner
236 pages
5h 34m
English
Functional programming, as we know, is about leveraging the power of functions to perform data flow transformations. By using a variety of functional operators like map, reduce, filter, compose, and so on, we can apply transformations on input data and produce output values. The catch in the case of MobX is that the input data is an observable, a time varying value. MobX combines the qualities of a reactive system and ensures the functional -transformations are automatically applied when the input data (observable) changes. It does this in a transparent fashion, as discussed earlier, by establishing implicit connections between the observables and reactions.
This combination of qualities makes MobX a TFRP system.
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