Jafama is a Java library that provides fast numeric operations that are replacements for the methods on java.lang.Math. Jafama (Java Fast Math) consists of fast – but not sloppy – counterparts of java.lang.Math treatments, plus additional ones. They are usually about 2-4 (up to 15) times faster, with about 1e-15 accuracy, and handle special cases…
Jafama is a Java library that provides fast numeric operations that are replacements for the methods on java.lang.Math. Jafama (Java Fast Math) consists of fast – but not sloppy – counterparts of java.lang.Math treatments, plus additional ones. They are usually about 2-4 (up to 15) times faster, with about 1e-15 accuracy, and handle special cases…
We describe a group research project in which we worked to evaluate and port existing machine learning and modeling functionality in HunchLab from R to Spark.

When working with spatial data one often needs to work with polygons to demarcate bounding areas. One important concept related to this is winding, which defines the relative order in which the vertex points of a polygon are listed. Winding can be either clockwise (CW) or counter-clockwise (anti-clockwise) (CCW), referring to the direction in which…
In this blog, we describe our experience with selecting a NAT Instance Size on EC2.
In this blog we outline how to run Vagrant with Ansible provisioning on Windows.
A continuation from part 1 in this series, in this post we apply Ansible roles against a virtual machine and install Packer.
In this post we use ansible-galaxy to install and create Ansible Roles.
One common functionality for software is the need to provide human readable text messages. This is true of native applications, web applications, and many back-end systems. For applications with a user interface there is often a requirement that these messages be localized, that is, provided to the user in the user’s native language.
We discuss three steps you can take to begin thinking about strings and unicode the right way.
We’re releasing our first Technology Radar. A Technology Radar, pioneered by ThoughtWorks, is a list of the techniques, tools, platforms, languages, and frameworks divided into recommendation levels: Adopt, Trial, Assess and Hold. It’s mostly a list of things we find useful and interesting.