Codetown ::: a software developer's community
Last Update: May 9, 2018
Kotlin Evolution and Enhancement Process
dbacinski/Design-Patterns-In-Kotlin
Stackoverflow Documentation on Kotlin
Antonio Leiva - Android and any other monsters
Learn Kotlin with short coding challenges on your Android device
Blog that teach about Kotlin
Kotlin Programming: Next Level Java Development
Learn coding in Kotlin from scratch!
Kotlin in Action - Dmitry Jemerov, Svetlana Isakova
Programming Kotlin - Stephen Samuel, Stefan Bocutiu
Fundamental Kotlin, First Edition
Learn Kotlin quickly from the start
160 Minute Android Course
Reactive Programming in Kotlin - Rivu Chakraborty
Learn how to implement Reactive Programming paradigms with Kotlin, and apply them to Web programming with Spring Framework 5.0 as well as in Android Application Development. By Rivu Chakraborty
Kotlin for Android Developers - Antonio Leiva
Introduction to Kotlin Programming by Hadi Hariri
From Hello World to Interoperability with Java
From Nested Functions to Asynchronous Programming
Android Development with Kotlin - Marcin Moskala, Igor Wojda
Learn how to make Android development much faster using a variety of Kotlin features, from basics to advanced, to write better quality code
Mastering Android Development with Kotlin - Miloš Vasić
Master Android development using a variety of Kotlin features
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Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Wenjie Zi of Grammarly addressed the high failure rates in machine learning at QCon SF 2024, revealing challenges from misaligned business goals to poor data quality. She advocated for a "fail fast" approach and robust MLOps infrastructure, emphasizing that learning from failures can drive success. Clear objectives and rigorous practices are essential for effective implementation.
By Andrew HoblitzellAt QConSF 2024, Cody Yu presented how Anyscale’s Ray can more effectively handle scaling out batch inference. Some of the problems Ray can assist with include scaling large datasets (hundreds of GBs or more), ensuring reliability with spot and on-demand instances, managing multi-stage heterogeneous compute, and managing tradeoffs with cost and latency.
By Andrew HoblitzellAt QCon SF 2024, Faye Zhang gave a talk titled Search: from Linear to Multiverse, covering three trends and techniques in AI-powered search: multi-modal interaction, personalization, and simulation with AI agents.
By Anthony AlfordThe WildFly community announced the latest release of WildFly 34, emphasizing the significant changes made to the WildFly Preview. Including support for Jakarta Data 1.0, MicroProfile REST Client 4.0, and MicroProfile Telemetry 2.0. Other minor updates include ORM 6.6.x, Hibernate search 7.2, and FasterXML Jackson 2.17.
By Shaaf SyedAWS has announced the general availability of Amazon Aurora PostgreSQL Limitless Database, a relational database designed to provide automated horizontal scaling. This new option can handle millions of write transactions per second and manage petabytes of data, all within a single database environment.
By Renato Losio© 2024 Created by Michael Levin. Powered by
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