Functional Approach to Software Engineering
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This document outlines functional programming concepts like pure functions, shared mutable state, null, and monads. It discusses how pure functions have no side effects or mutations, the problems with shared mutable state and null values, and how monads support mapping and lifting values to address these issues. Examples of applying these concepts in JavaScript are also mentioned.
Functional Approach to Software Engineering
- 3. Outline - Pure functions - Shared Mutable State - Null - Monads - Example use cases in JavaScript
- 4. Pure Functions No Mutations No Side effects
- 9. No difference between the value and the reference to a piece of data Referential Transparency
- 10. This is not referential transparency
- 11. Null
- 12. Maybe Null
- 13. Monads
- 14. Monads In simple terms -- supports Map obj.map(f).map(g) == obj.map(g~f) -- pointed -- A way to lift values Containers with functionality that supports associativity and identity Arrays Promises And much more
- 15. Examples
Editor's Notes
- #2: https://jsbin.com/cihapuf/edit?js,output
- #7: There are two ways to get a value out of a function -- Return path -- Exception path
- #9: Javascript is safe in most of the cases since it is single threaded. Think of this in Java terms Mutual exclusions Dead locks / Starvation Even in Javascript if you have concurrent browser tabs accessing network or local storage
- #15: Most of these act like Monads.