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Paul Dix's Projects

2014-talks icon 2014-talks

This is the official repository for slides and talks from GopherCon 2014

basset icon basset

Library for various machine learning tasks

bunny icon bunny

Another synchronous Ruby AMQP client

code-katas icon code-katas

My implementations and notes on the code katas created by Dave Thomas

domainatrix icon domainatrix

A cruel mistress that uses the public suffix domain list to dominate URLs by canonicalizing, finding the public suffix, and breaking them into their domain parts.

extractula icon extractula

Extracts content like title, summary, and images from web pages like Dracula extracts blood: with care and finesse.

hydra-simpledb icon hydra-simpledb

Like Hydra, the fearsome offspring of Typhoeus, this Ruby library for SimpleDB is based on the HTTP library Typhoeus.

monkey-rust icon monkey-rust

My first foray into learning Rust: an implementation of Thorsten Ball's Monkey programming language

openmetrics icon openmetrics

Evolving Prometheus exposition format into a standard.

ruby-gmail icon ruby-gmail

A Rubyesque interface to Gmail. Connect to Gmail via IMAP and manipulate emails and labels. Send email with your Gmail account via SMTP. Includes full support for parsing and generating MIME messages.

sax-machine icon sax-machine

A declarative sax parsing library backed by Nokogiri.

scala-redis icon scala-redis

A scala library for connecting to a redis server, or a cluster of redis nodes using consistent hashing on the client side.

sinatra icon sinatra

Classy web-development dressed in a DSL (official / canonical repo)

truffle-hog icon truffle-hog

Finds RSS and Atom feed urls in html like a hog finds truffles. Tasty, delicious feeds... er, truffles.

typhoeus icon typhoeus

Like a modern code version of the mythical beast with 100 serpent heads, Typhoeus runs HTTP requests in parallel while cleanly encapsulating handling logic.

working-with-big-data icon working-with-big-data

Slides, code, and supplemental materials for the LiveLesson: Working with Big Data: Infrastructure, Algorithms, and Visualizations

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