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AFRICA ANDROID CHALLENGE
Information
The Africa Android Challenge is on! The object is to learn and share your software development expertise...and to compete with your best Android application. Please join us and participate.
Location: Africa
Members: 3
Latest Activity: Mar 19, 2012
About the AFRICA ANDROID CHALLENGE
The Africa Android Challenge is all about the software development lifecycle. We'll go from concept to launch on each of the projects. The idea is to come up with a concept and develop it to completion.
We will share everything we learn. It's a great opportunity to learn about Android development and software development in general. You'll also build community by participating.
This group has discussions in the Discussion Forum, an RSS feed (the "Reading List"), a place to post comments and you'll see individual pages here, too.
Recognize Max Bonbhel, AfricaJUG and CongoJUG founder and coordinator in the photo above? That photo was taken at Google's Android headquarters during the JavaOne 2011 timeframe.
Thanks to Google for providing Android phones and assistance with this contest.
Discussion Forum
AFRICA ANDROID CHALLENGE - SUBMISSIONS ARE IN!
Check out these cool submissions to the Africa Android Challenge:…Continue
Tags: moroccojug, senejug, jug-africa, codetown, android
Started by Michael Levin Mar 19, 2012.
site 2 Replies
Hello I said what is the site for the challenge of africa androidContinue
Started by Ngadjeu. Last reply by Michael Levin Dec 21, 2011.
The Africa Android Challenge - First meeting 1 Reply
Here are some notes from the first meeting about The Africa Android Challenge. That's SeneJUG co-founder and coordinator Lamine…Continue
Tags: max bonbhel, codetown, contest, lamine ba, africa
Started by Michael Levin. Last reply by Max Bonbhel Dec 8, 2011.
Africa Android Challenge Reading List
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Comment Wall
Comment
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
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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InfoQ Reading List
Presentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita BhattacharyaSwift Cross-Platform Framework Skip Now Fully Open Source
After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single Swift/SwiftUI codebase, has announced their decision to make the product completely and open source, in order to foster adoption and community contribution.
By Sergio De SimoneRailway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure
Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.
By Craig RisiGoogle BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
By Steef-Jan WiggersGoogle Introduces TranslateGemma Open Models for Multilingual Translation
Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and 27B parameter variants designed to support machine translation across 55 languages and to run on platforms ranging from mobile and edge devices to consumer hardware and cloud accelerators.
By Daniel Dominguez
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