Android offers many different locations and ways to store data, and we'll share best-practices for each of them, helping you build robust, secure, and flexible apps along the way.

Storage Access Framework → http://bit.ly/2FbPgwv
StorageManager docs → http://bit.ly/2OzbYOv

Presented by: Jeff Sharkey


Android Dev Summit '18 all sessions playlist → http://bit.ly/ADS18-Sessions
Subscribe to the Android Channel! → http://bit.ly/AndroidDevs1

#AndroidDevSummit

Журнал Wired недавно включил финтех-компанию ID Finance в топ-100 «самых горячих стартапов Европы». Продукты компании разрабатывают в Минске, в здешнем R&D — 200 человек. CTO Павел Шарейко рассказывает, чего ни в коем случае не надо делать.

Text layout has high impact on almost every application's performance. This talk covers common usage patterns of text in Android apps and common pitfalls dev...

LiveData is a simple observable data holder that is aware of the lifecycle of the observers. It was designed to avoid memory leaks and null pointer exceptions between an activity or fragment and a ViewModel.

However, you can also use LiveData beyond the ViewModel. Components like Room or Workmanager also expose LiveData observables, and you can make your own data sources lifecycle-aware.

In this talk, we'll deep dive into patterns with LiveData such as the different types of transformations (map, switchMap and MediatorLiveData), handling events and building reactive architectures as well as common antipatterns and code-smells to avoid.

Links:
LiveData blogs → http://bit.ly/2PUpnWd
Samples → http://bit.ly/2qzKbDN
I/O app → http://bit.ly/2Ov1Vd3

Presented by: Jose Alcérreca & Yigit Boyar


Android Dev Summit '18 all sessions playlist → http://bit.ly/ADS18-Sessions
Subscribe to the Android Channel! → http://bit.ly/AndroidDevs1

#AndroidDevSummit"

Lives - Android LiveData Extensions for Kotlin and Java - adibfara/Lives

Last week at the 2018 Android Dev Summit, we demonstrated the benefits of Project Treble by showing the same Generic System Image (GSI) running on devices from different OEMs. We highlighted the availability of GSI for Android 9 Pie that app developers can use to develop and test their apps with Android 9 on any Treble-compliant device.

Last year at Firebase Summit, we introduced you to Predictions, a machine learning product that helps you smartly segment your users based on their predicted future behavior. Without requiring anyone on your app team to have ML expertise, Predictions gives you insight into which segments of users are likely to churn or spend (or complete another conversion event) so you can make informed product decisions and grow your app.

As applications grow in size, Dagger can help mitigate the pain of dependency management and eliminate the boilerplate of manual dependency injection. Despite this, there are still pain points such as slower compilation times and how to inject objects like activities and views. This talk will cover functionality provided by libraries which build on top of Dagger to reduce these pain points. We’ll start with the built-in ‘dagger-android’ library to see how it works and the most efficient ways it can be used. We’ll learn what assisted injection is, why you might use it, and look at a library which simplifies the pattern. And finally we’ll attempt to solve the build speed problem so that development builds are as fast as possible without sacrificing Dagger’s compile-time safety.

Assisted injection for JSR 330. Contribute to square/AssistedInject development by creating an account on GitHub.