Digest of interesting materials for the mobile developer # 243 (February 26 - March 4) In our first spring digest, the continuation of the history of "Micro-mathematics", the study of Swift in 60 seconds, Unit-tests and animations, interfaces, Flutter, ARCore and guidelines for mobile marketers. All spring!
In this small note, I want to introduce a new version of the application, which is now being prepared for release, as well as to share all the positives that have been received as part of the work on the release.
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Digest is also available as a mailing list. You can subscribe here . iOS •
(+29) We train on cats: modification of collections and tables in iOS •
(+14) Parallel programming in Swift: Operations •
(+8) Summarize table animation in iOS applications •
Swift in 60 seconds •
Development plan for iOS developer •
Vulkan comes to iOS •
Metal Tutorial in Swift 3 •
Push notifications in iOS and how to work with them •
Registration and login in iOS application on Firebase in 15 minutes Android •
(+23) Guide to background work in Android. Part 2: Loaders •
(+20) MOSDROID # 5 Boron in Tutu.ru office: video speeches •
(+12) Android data migration tools and improved application support •
(+12) "Dagger-Android & AAC" or "shove un-crammed" •
Google released ARCore version 1.0 •
Android Dev Podcast. Issue 57. Automation testing. Unit tests •
Architectural Components of Android with Firebase •
Deep immersion in the architectural components of Android •
Custom View at 60 frames per second •
7 libraries that every Android developer should know about •
What GraphQL is and how to use it in Android •
Create a library for Android •
Testing apps by killing them. •
Continuous Integration & Deployment Android Application •
Using TensorFlow on Android: A Step-by-Step Guide •
Add “picture-in-picture” to the application •
We change the architecture of the application without rewriting it. •
Mango: Android app for Dribbble •
Lynket: open browser for Android •
Long Shadows: library for long shadows Development •
(+26) Custom animations in a mobile application •
(+12) Designer, close Sketch! Knowledge of UX / UI is not a guarantee of a successful career •
(+10) 11 more useful tools for developers and designers with Product Hunt •
(+5) History of a single automation project, or how to implement a mixed accounting of fixed assets using a single tool •
(+5) Implementation of a prototype of mobile / web clients and a server for an enterprise equipment control system •
Personal experience in developing a “Whatsapp equivalent” for 4 months •
SketchAR School: how to teach computer vision to understand drawing •
Luna and a visual way to create programs. •
10 tips for creating a better interface. •
From three unsuccessful projects to 1200 users per week •
What many technical managers do wrong •
When is it worth removing a hamburger menu from your product ?
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Podlodka # 48: Startups •
Google released the first beta Flutter •
LovePlanet launches the designer of dating applications. •
How to get paid for open source •
Flutter: how to make a simple application in an hour •
React Native Task List •
Introduction to Flutter Analytics, marketing and monetization •
Report on the cost of advertising in applications and games from SOOMLA for 1 quarter of 2018 •
Average conversion to installation for applications from AppFollow Benchmark •
Advertising in games: how it works and how to make it better •
“Mobile Landmarks 2018”: Adjust report •
Advertising in voice assistants in Russia and Western countries •
How users search apps on the App Store AI, Devices, IoT •
(+86) Two models are better than one. Experience Yandex.Translate •
(+48) Random evolutionary strategies in machine learning •
(+27) Internet of things: from designing a backend to energy absorption •
(+27) Classification of objects in real time •
(+15) Training with reinforcements never worked •
(+11) Cybersecurity for drivers: how to avoid cyber attacks on connected cars? •
Google opens a learning site and an artificial intelligence course. •
Intel released a motherboard to speed up neural networks •
Let's play Quidditch with the TensorFlow Object Detection API •
Cars of the future will sell your data •
Generation of levels for the game using the neural network ←
Previous Digest . If you have other interesting materials or you have found a mistake, please send it to the post office.
Source: https://habr.com/ru/post/350420/All Articles