Closed frankcollins3 closed 1 year ago
chatGPT says redux comes with additional overhead like storing global store as singular object but that: such extra work is negligible and outperformed by reduction in complexity for state, if state were to be so complex. [8:06pm]
attempting to do:
heres the component that renders the component enticketed below it. (with dependencies removed to save space. everything works)
heres the component:
while I made a password constraint checker, a user login, reiterated all old mongo data to be new psql related data... adjusted the navbar a bit and added the puppeteer searching and profile icon search... also updated routing to be GraphQL, and state to be redux.
I'm redoing this app. These are her components (jenny) from the class project "WAPP" (in github organizations)
if I were to connect this app, mapStateToProps, mapDispatchToProps, connect, those also have to reach to the reducers and actions...
quite a bit going on where, in this example, the only state handling expressions are: state passed as props from last component :
export default function Timer({ hydroSchedule }) { :
bookmarking a curiosity on how much latent or memory/power intensive for the app to handle these expressions.
// seen a few jobs mention "work with ultra-low-latency teams to optimize performance" If this were a stock trading app that depended on real-time data, what would be the MOST MOST MOST performant approach