FABLE 3 VS FABLE 2 CODE

They're also more amenable to business requirements changing, simply because they've been modelled well to start with.

FABLE 3 VS FABLE 2 CODE

Our code written in F# has an order of magnitude fewer bugs when it makes it to production, given the amount of thought we pour in modelling the problem domain accurately, and thanks to functional programming itself.

We also make ample use of quotations to do some cool tricks (like predict the future states some type can take, based on current state + available transitions). Platform/framework engineers try to encapsulate as much magic as possible into computation expressions (F#'s monads), so product engineers can focus simply on writing out business intent, with readability given very high priority. component designers who focus on visuals platform & framework engineers (who write the underlying persistence/serialization/versioning/frontend-backend-sync websocket/load balancing/IDE extensions/deployment etc) product engineers (who write application logic on both frontend and backend to serve business needs) We've written quite a bit of code to blur the lines between traditional backend and frontend development roles, so what we have now are: All new frontend apps are also being written in F# (using Fable), as of 6 months back, migrating away from TypeScript, this forces everyone into a 'design your model first, and well' paradigm. We're an F#-first company and I'd like to share our experience here.ДЄll our new code is in F#, we started off from a C# codebase, so that made the transition somewhat manageable, as new F# code can be directly called from C#, and vice versa (still took over 2 years). Julia has solved some of these problems, but I don't see a team implementing tons of business logic in a medium sized application using Julia. Whenever I develop a data-oriented application, it feels like I need to prototype in one language and in order to scale or develop the whole infrastructure, I need to switch to another language. On the other hand, I love these languages, and I wish there was a strongly typed contender to Python, R or Julia. That's not so easy to implement on your own, especially not without some linear algebra and optimization primitives available. The latter has OWL, which is very cool, but it's mostly a 1-person project.Дo they develop all this support in house? For example, in insurance you may need things like Gumbel or FrГ©chet maximum likelihood estimators. I find this a bit intriguing because the library support for linear algebra, probability and statistics is pretty slim both in. Even Rust has started popping up recently. I see a decent number of openings in the City of London quite regularly for finance and insurance positions.

Fable 3 vs fable 2