Codetown
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January 2015 Blog Posts (6)
Phone Software Entrepreneurs? Under 30 Forbes List
Forbes published an under 30 tech list featuring entrepreneurs who've made it big. Read about it …
Added by Michael Levin on January 27, 2015 at 12:30pm — No Comments
Getting Started With Android
Interested in Android programming? Here's a nice, recent article at Lifehacker outlining good, free resources to get you going. http://lifehacker.com/i-want-to-write-android-apps-where-do-i-start-1643818268 ;
Added by Michael Levin on January 22, 2015 at 11:05am — No Comments
Pay What You Want: Back-End Developer Course Bundle
Added by Michael Levin on January 20, 2015 at 10:23am — No Comments
Speak at OSCON!
Here's a message from O'Relly about OSCON 2015:
We're deep into planning OSCON 2015 and we've got some exciting news: OSCON is changing. We're no longer beating the drum and…
ContinueAdded by Michael Levin on January 9, 2015 at 11:47am — No Comments
O'Reilly Solid Conference CFP closes 1/20!
The O'Reilly Solid conference is in San Diego in June and it's all about the merging of HW/SW for the IoT. Want to get involved? The Call for Papers is open and there are loads of benefits in giving a presentation for an O'Reilly conference., Take it from me! It's a great thing to do for the community and you learn a ton…
ContinueAdded by Michael Levin on January 9, 2015 at 9:30am — No Comments
How to Use SQL, Hadoop, Drill, REST, JSON, NoSQL, and HBase in a Simple REST Client
Our friend Carol just published this article.
SQL will become one of the most prolific use cases in the Hadoop ecosystem, according to Forrester Research. Apache Drill is an open source SQL query engine for big data exploration. REST services and clients have emerged as popular technologies on the Internet. Apache HBase is a hugely popular Hadoop NoSQL…
ContinueAdded by Michael Levin on January 7, 2015 at 1:45pm — No Comments
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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
Google Open-Sources the Common Expression Language for Python
Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, safety, and portability.
By Sergio De SimoneQCon London 2026: How To Run on Three Clouds at Once, and When Not To
Form3 runs UK bank payments across three clouds simultaneously. At QCon London, their engineers explained how they built their custom Kubernetes operators, cross-cloud DNS tricks, and distributed databases, and what happened when they tried to sell them in America. Spoiler: US customers wanted East/West failover, not triple-active multi-cloud.
By Steef-Jan WiggersQCon London 2026: The Hidden Power of Boring Problems
At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and frameworks or to invest in deeper, foundational problems that may appear less exciting but deliver long-term value.
By Daniel DominguezDoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared embedding space. Trained on 32 million labeled query-product pairs using contrastive learning, the system improves semantic search, product ranking, and advertising relevance. Embeddings also support other machine learning tasks across the marketplace.
By Leela KumiliPresentation: Image Processing for Automated Tests
Stefan Dirnstorfer discusses the shift from DOM-based testing to visual UI agents. He explains why LLMs often fail at precision tasks - like spotting one-pixel shifts or broken road networks - and shares how advanced image registration and "Chain-of-Thought" vision processing are essential for reliable QA. Learn why combining generative AI with classical algorithms is the future of automation.
By Stefan Dirnstorfer
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