Reactive Programming with RxPy

on YouTube ↗19m

" summary

Shows concrete use of RxPy with a Tornado websocket calling the GitHub API, implementing observables, observers and subjects and observables to multicasts streams. Demonstrates operators: filter, flat_map, combine_latest, throttle/interval and do_action, and uses on_error/on_complete for centralized error handling. Builds a working example that polls and filters incoming data and joins user input with periodic fetches; works in-process with threads but not distributed across machines.

AI-written summary · about

" chapters (7)

1. 0:00Start
2. 1:42What Does Reactive Programming Really Means?
3. 3:16Why Reactive Programming?
4. 5:49Observable and Observer
5. 8:30Data Operators in Reactive Programming
6. 14:00Advantages of Reactive Programming
7. 14:37Trying it out

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