Chris Sevilleja
Making scotch.io. Google Dev Expert. Champion pizza maker.
RxJS
Reactive Programming
- Programming with asynchronous data streams
- Tools to combine, create, and filter those streams
Lodash for events
Arrays Methods
- .map()
- .forEach()
- .filter()
- .reduce()
Asynchronous Data Streams
- Asynchronous: Give a callback to run when results are returned
- Data: Raw information such as objects, arrays, numbers, strings
- Stream: Data/events as they're available over time
Promise
Observable
Stream Events
Each stream event can emit three different things:
- Next: Value or data like an object
- Error
- Completed
Observable Examples
Stream === Observable
- Value or data like an object
- Error
- Completed
Why Reactive Programming?
- Apps are chatty
- Liking a Tweet
- Responding to a message
- Adding a reaction to a post
- Observables are everywhere
- Powerful Operators
- Easier to read
Angular Observables
- Async Processing
- HTTP
- Forms and Validation
- Routing
-
Custom Component Events
- EventEmitter
Flip Flops: RxJS
By Chris Sevilleja
