The digest of interesting materials for the mobile # 237 developer (on January 15-21)

![]() | Perhaps the most unusual puzzle on Google Play |
![]() | Motion gesture recognition on Android using Tensorflow |
![]() | IPhone 2G reverse engineering |
The digest is also available as a newsletter. You can subscribe here .
iOS• (+13) How to cache AVURLAsset data downloaded by AVPLayer
• (+8) Reports from the meeting of iOS developers Red Hot Chili Apples
• The App Store has updated its web version
• Apple plans to combine applications for iPhone, iPad and Mac
• Apple started selling Colgate smart toothbrush
•Apple will invest $ 350 billion in the US economy
• 50 questions and answers for interviewing iOS developers: Part 1
• App Store paid $ 26.5 billion to developers in 2017
•
How to use SnapKit for programmatic description of constants•
Best way to update UICollectionView using DeepDiff•
Parallel programming on Swift•
RSParser: parser RSS, Atom, JSON Feed, RSS-inJSON, OPML and HTML
Android• (+9) We simplify the work with RecyclerView as much as possible
• (+8) Expressive Kotlin. Extensions
• (+3) Communication between a computer and an Android device through Processing
•BlueStacks supports Android 7.0
• Android Things: 0 to “Hello World”
•
Android Dev Podcast. Issue 54. DevOps• We use a widget for an application with our font
• A
free book on Android development based on answers with Stack Overflow•
A simple weather application on Kotlin, Retrofit and RxJava2•
Become an Android artist•
Implement a presenter with Rx or functional reactive architecture•
25 new Android libraries and projects that are worth a look at the beginning of 2018•
Working with GraphQL•
Preparing an Android application to work on a Chromebook•
SdkSearch: Android SDK documentation
Development• (+52) Updating lines on the fly in mobile applications: Part 1
• (+32) How to write your own game engine in C ++
• (+28) How many participants can be in a WebRTC call?
• (+16) Technological demo Book of the Dead and new features of Unity 2018
• (+4) We develop reusable reusable components
• Oculus launched Oculus Start developer support program
• What emojis are most used by programmers
• Stories of developers who got their first job after 30, 40 and 50 years old
•How I participated in the hackathon with 13 days of programming experience
• How the Wikipedia application gets ready to work offline
• How the creation of Apple emojis changed my life
• “Games are art and incredibly hard work”: Vyacheslav Utochkin on creating games in Russia and game trends industry
• Podlodka # 42: Design systems
• The price of a gaming business that no one talks about
• AppTractor podcast: virtual reality
•
How I did 6 third-party projects in 2017•
How to make a ridersharing application•
Principles of a mobile user interface•
How to become a React Native developer in 2018•
Development of a delivery application: useful tips•
Augmented reality is empty - where are all the people?
Analytics, marketing and monetization• (+23) Interview with Oren Kanyel (CEO Appsflyer) about the mobile ecosystem, investment in technology and corporate culture
• (+4) New online games launch process in China
• Natalia Vodianova’s charity Elbi application launched in Russia
• Snapchat improves application promotion tools
• TheTool identified the most important factors of the App Store Optimization
• Sweatcoin received a seed investment of $ 5.7 million
•App Annie: 2017 retrospective report
• How to achieve user engagement
• Pregnancy prevention app recognized as “not always effective”
• Danny Trejo promotes new Family Guy game
• HQ Trivia magic
• Mobfox case: 31% increase in Musi revenue
• Top 10 2017 applications, games and publishers
•
Strategy for working with rewarding videos for F2P games•
Why user interviews are important•
9 predictions for the application market in 2018•
Main mobile trends 2018•
Behavioral profiling: how to make useful player models•
The cost of developing games
Devices, IoT, AI• (+28) Affordable AI for any company: Cloud AutoML
• (+24) Using Intel Movidius for neural networks
• (+24) TOP-30 most impressive machine learning projects over the past year
• (+18) Own pix2code with blackjack, but without neurons
• (+17) Who is engaged in machine learning and what is popular in Data Science now? Survey results among Kaggle users
• (+12) Using Grafana with the DeviceHive IoT platform
• (+10) Connecting Internet of Things and Azure devices using NodeJS
• (+8) Cross-platform IoT: Troubleshooting
• Nintendo Switch was supplemented with a cardboard designer
• BlackBerry launched Jarvis service for car code analysis
• Unmanned rooms: the end of Uber, Airbnb and the cities we know
• Depression, loneliness and lack of sleep: how smartphones destroyed an entire generation
• We create an operating system for Raspberry Pi
< Previous digest . If you have other interesting materials or if you find a mistake, please send it to the mail.


