I recently had to buy a laptop for my personal use. To the surprise of my closest colleagues I have bought a Mac Book Pro. My first impressions are excellent, money well spent. From the OS perspective I found java pre-installed and all the nice unix tools like ssh which i have to use to connect to my linux servers available in the 64 bit unix base OS. Remote access using VNC works perfect as well. Setting up glassfish and netbeans was again very easy to do without an problems - performance was excellent, better than i ever seen on windows platforms for sure - an experienced IT person can immediately feel the solid OS thats running under the hood. When it comes to the leopard interface one cant comment, definitely one of the sleekest and most user friendly environments i've seen so far. Just to conclude my short note, for the java developers -> its definitely a nice environment to work in, an x platform with the slickest environment around.
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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