We can conclude from those two facts that, in Clean Architecture terms, while LiveData works fine for the Presentation L

This approach may work fine, until you decide to make the Domain Layer, which contain the Repository interfaces, platform independent (as it should be). Also, once you need to offload work to worker threads on Data Sources, you will see there is no easy, idiomatic way with LiveData.

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Sandra and Beth plied their mother with alcohol — which with her addiction, was fairly easy. Afterwards, they had her swallow six Tylenol 3 tablets. The mixture of codeine and alcohol, a fatal concoction, would slow down her heartbeat and allow the girls to complete their horrid quest.

Disclosure: Bear in mind that some of the links above are affiliate links and if you go through them to make a purchase I will earn a commission. Keep in mind that I link Udacity programs and my tutorials because of their quality and not because of the commission I receive from your purchases. The decision is yours, and whether or not you decide to buy something is completely up to you.

Our Repository and ViewModel warrants no changes, but our Activity now receives a Flow and not a LiveData , so it needs to adapt: instead of observing the LiveData , we will collect the Flow.

But Machine Learning is not for everyone and everyone doesn’t need to know it. If you are a successful Software Engineer and you’re enjoying your work, just stick with it. Some basic Machine Learning tutorials won’t help you progress in your career.

Unlike almost every other tablet on the market, the reMarkable isn’t packed with features or full of apps; after opening it and tapping around for a few minutes, you might realize it doesn’t have a ton of functionality. But, that’s the entire point of this tablet: It’s a focused device that does very few things, but tries to do them really well.

Disclosure: Bear in mind that some of the links above are affiliate links and if you go through them to make a purchase I will earn a commission. Keep in mind that I link Udacity programs and my tutorials because of their quality and not because of the commission I receive from your purchases. The decision is yours, and whether or not you decide to buy something is completely up to you.

If you’re considering a reMarkable 2, you should know that it’s targeted at a very specific type of person that wants to take notes, by hand, but have them automatically digitized — without the burden of being distracted by a full-on tablet with notifications and tons of apps.

On that note, the surprising news here is that the reMarkable is a refreshingly hackable device. It’s not locked down at all and runs a light version of the Linux operating system, which allows you to run whatever software you want on it by uploading via a SSH connection from a computer.

Let us convert our Data Source to use Flow . We have a flow builder, callbackFlow {}, that converts a callback to a cold Flow. When this Flow is collected, it runs the code block passed to the flow builder, adds the GeoQuery listener and reaches awaitClose {}, where it suspends until the Flow is closed (that is, until no one is collecting, or until it is cancelled for whatever uncaught exception). When closed, it removes the listener, and the flow is dematerialized.

Occasionally, that focus left me wanting a little bit more integration with my existing workflows, be it syncing my notes into an app like Notion or playing nice with my saved articles in Pocket. Given the hackability of the device, however, it’s likely the community will come through on this front in time and build on top of the device where the company left off.

Let us begin by showcasing the use of LiveData from the data source all the way to our view. The Data Source is responsible for connecting to the Firebase Realtime Database through a GeoQuery. When we receive a onGeoQueryReady() or onGeoQueryError(), we update the LiveData value with the aggregate of the locations entered, exited or moved since the last onGeoQueryReady() .

Flow is declarative (cold): a flow builder merely describes what the flow is, and it is only materialized when collected. However, a new Flow is effectively run (materialized) for each collector, meaning upstream (expensive) database access is redundantly and repeatedly run for each collector.

The hacking community has embraced the device as a result and built out an array of customizations, including, yes, a rough Pocket integration and even a way to set the “sleep” screen to the latest front page of the New York Times. This gives me optimism about the future of the reMarkable as a platform — though I’ll admit that it’s very early days still — and I’m excited to tinker with it to see what I can do. Being able to tinker, and get under the hood of the reMarkable is a fabulous and surprising change of pace from locked down devices like the iPad.

Those are not to be viewed as pure Flow intrinsic defects: those are just characteristics that makes it not fit well as a LiveData substitute, but can be powerful in other contexts.