Just returned from a Tech event in Tripoli, Libya. Was impressed with the changes the country went through since my last visit over a year ago. Road infrastructure, buildings, restaurants, airport, etc all gave me signs of improvement, surely a country developing at quite a fast pace. I also happened to meet with some guys from the Linux Community Group from Tripoli pushing Ubuntu and Opensource software in the region ... amazed with their interest and vibrant activity ... all the best!!
In specific software areas like in quantitative finance or else in other mathematical domains, data centric programming typically requires a good balance between three requirements - (1) a solid platform with rich mathematical/statistical functionality (2) having an easy to use, contemporary, programming environment which permits easy and flexible front end code development and (3) an easy to use interface between the two environments. In this artcile I am going to explain how such a balance can be attained by using two of the best products in their specific worlds - using the rich R library as the mathematical/statistical component but then interfacing with C# for the front end application design. As an interfacing option I banked on using R (D)COM which provides an easy to use interfacing method which keeps you away from spending hours identifying interfacing problems. The software required for this tutorial is the following: 1. R software ( download from here ) 2. R (D)COM In...
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