Codetown ::: a software developer's community
At Measures for Justice (MFJ) our mission is to use data to transform how we measure, understand, and reform the criminal justice system in America. We collect, clean, code, standardize, and analyze data from criminal justice agencies to provide consistent, comparable, objective, and public performance measures across the whole criminal justice system, from arrest to post-conviction, on a county-by-county basis (see our Data Portal at https://measuresforjustice.org/portal/).
In 2017, MFJ educated the Florida legislature about how data transparency in criminal justice could be improved in that state. As a result, the state passed into law (Florida Statutes 900.05) a bill that mandates court clerks, state attorneys, jail administrators, public defenders, and the Department of Corrections to report data to the Florida Department of Law Enforcement (FDLE) on a monthly basis. MFJ is supporting the implementation of the new legislation through a pilot in the 6th Judicial Circuit (Pasco and Pinellas counties) that will embed at least one Data Fellow within the Clerk of Courts Office of each county.
See more details here: https://measuresforjustice.org/about/jobs/data-fellow.html
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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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Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By analyzing The One Billion Row Challenge, he shares how Java frameworks can outperform Python in memory management while maintaining code readability. He discusses practical use cases for senior devs, from ad-hoc data manipulation to building scalable enterprise pipelines.
By Vladimir Zakharov
Uber transitions its in-house search indexing to OpenSearch with a pull-based ingestion framework, improving reliability, backpressure handling, and multi-region consistency for large-scale streaming data while simplifying recovery and supporting global, real-time search experiences.
By Leela Kumili
In this article, the author argues that infrastructure and compute limitations can drive innovation. It demonstrates how smaller, efficient models, synthetic data generation, and disciplined engineering enable the creation of impactful LLM-based AI systems despite severe resource constraints.
By Olimpiu PopIn this episode, Thomas Betts chats with Madelyn Olson, a maintainer of the Valkey project and a Principal Software Development Engineer at Amazon ElastiCache and Amazon MemoryDB. The conversation covers how Valkey started as an open source fork of Redis and how the maintainers optimized the memory usage and improved throughput.
By Madelyn Olson
The latest release of Xcode, Xcode 26.3, extends support for coding agents, such as Anthropic's Claude Agent and OpenAI's Codex, helping developers tackle complex tasks and improve their productivity.
By Sergio De Simone
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