Dopamine makes a person feel good and is released in the brain when they’re rewarded. So when you meet someone at a bar

Note: If you convert your Repository Flow to LiveData by using Flow.asLiveData() in the ViewModel, the LiveData becomes the sole collector for the Flow , and no matter how many observers in the Presentation Layer, only one Flow will be collected. However, for that architecture to work well, you’ll need to guarantee every other component of yours access your LiveData from the ViewModel, and never the Flow directly from the Repository. This can prove itself a challenge depending on how decoupled your app is: all components that need the Repository, such as Interactors (use-cases) implementations, would now depend on the Activity instance to get the ViewModel instance, and the scope of those components would need to be limited accordingly.

Based on its success, Charles Frazier got an $8 million deal for his second book, with nothing more than a 1-page proposal. Cold Mountain swept the award scene that year, and went on to become a hit film that earned seven Academy Award nominations.

But that doesn’t explain everything. If Charles Frazier lacked confidence, he wouldn’t have quit his job as an English teacher to finish working on the book. He had to believe in it on some level.

One of his friends finally snuck an unfinished copy of the manuscript to a literary agent, who signed Frazier on the spot. That’s the only reason anyone knows anything about Charles Frazier. It’s hard to imagine how long he would’ve kept revising it.

You’ve probably heard of the Dunning-Kruger Effect, which explains why incompetent people think they’re so smart. It’s where we get that saying, “A little knowledge is a dangerous thing.”

For the started parameter, we can use SharingStarted.WhileSubscribed() , which makes our Flow start sharing (materializing) only when the number of subscribers turns from 0 to 1, and stop sharing when the number of subscribers turns from 1 to 0. This is akin to the LiveData behavior we implemented earlier by adding the GeoQuery listener in the onActive() callback and removing the listener on the onInactive() callback. We could also configure it to be started eagerly (immediately materialized and never dematerialized) or lazily (materialized when first collected, and never dematerialized), but we do want it to stop upstream database collection when not being collected downstream.

StateFlow can also be used to achieve the same behavior: it is a specialized SharedFlow with .value (it’s current state) and specific SharedFlow configurations (constraints). We’ll talk about those constraints later.

SharedFlow is a Flow that allows for sharing itself between multiple collectors, so that only one flow is effectively run (materialized) for all of the simultaneous collectors. If you define a SharedFlow that accesses databases and it is collected by multiple collectors, the database access will only run once, and the resulting data will be shared to all collectors.

Frazier’s problem was that he was just too good at what he did. He loved doing it too much. It’s a strange problem to think about, but not as rare as you think. We all know someone who has the same issue. There’s a chance you are that person. And if you’re not, there’s even better news: There’s absolutely no reason to be jealous.

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and deep learning, I highly recommend fast.ai. It is the best top-down teaching on the internet and it’s free! Jeremy packs rich content in the lectures, you’ll have to watch the lectures more than once to get the most out of them. It all pays off when you build your own deep learning project using fastai techniques to achieve state-of-the-art results.

So I’m interrupting our advice column for some much needed Jay-Z trivia: Hov’s verse above is one of my favorites, considering it was first heard during a Hot 97 freestyle session during a Funk Flex hour. The full version of the song is featured on a DJ Green Lantern mixtape.

If you’re waiting for a book deal, or a magical job promotion, or to be discovered, then it ain’t going to happen. Sorry. Only hard work and daily practice can turn your work into what looks like a big break.

For example, if a person buys milk and bread, then they are likely to also get some eggs. These insights are built upon previous purchases from various clients. Association rules are then formed according to a specific threshold for confidence set by the algorithm based on how frequently these items are brought together.

It may help to think of a SharedFlow as a flow collector itself, that materializes our cold flow upstream into a hot flow, and shares the collected values between the many collectors downstream. A man in the middle between the cold upstream flow and the multiple downstream collectors.

The scope is where all computation for materializing the Flow will be done. As our Data Source is a @Singleton, we can use the application process’ LifecycleScope , which is a LifecycleCoroutineScope that is created upon process creation and is only destroyed upon process destruction.