Carlos Santos's Library tagged → View Popular
bpython interpreter
Seems like ipython but with more emphasis on autocomplete/curses goodness
Relevance Blog : Java.next Overview
As we reach the middle of our second decade of Java experience, the community has learned a lot about software development. Many of our best ideas on how to use a Java Virtual Machine (JVM) are now being baked into more advanced languages for the JVM. These languages tend to provide two significant advantages:
* They reduce the amount of ceremony in your code, allowing you to focus on the essence of the problem you are solving.
* They enable some degree of functional programming style. Think of it as a dash of verb-oriented programming to spice up your noun-oriented programming.
I have picked four "Java.next" languages to demonstrate these concepts: Clojure, Groovy, JRuby, and Scala. I have written a series of articles and conference talks describing how these languages can make teams more productive.
Amazon.com: Clojure Bookshelf
R. Hickey (clojure author): "Books that influenced clojure". Besides the obvious ones (CTM, SICP) nice to see the Bratko book on Prolog, very good indeed.
snow Simplified: a user guide to the snow R package
Is this correct? I should review MCMC: "Many computationally demanding statistical procedures, such as Bootstrapping and Markov Chain Monte Carlo, can be speeded up significantly by using several connected computers in parallel."
Geniusql - Trac
low-level Object-Relational Mapper for Python applications. It primarily uses a generic Table Data Gateway architecture (as opposed to the more tightly-coupled Active Record architecture). If you want a more powerful solution, we recommend skipping Active Record and going straight to a Data Mapper like Dejavu. Dejavu uses Geniusql behind the scenes for RDBMS back ends, but allows you to mix and match them with RAM, filesystem, and other stores.
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