You have no idea what you're taking about. There is absolutely no better language for doing advanced statistical analysis. Python is the only thing that is close and it is lightyears behind in terms of contributed packages that provide statistical functions.
An anonymous reader writes: With the Little Box Challenge, Google (and IEEE, and a few other sponsors like Cree and Rohm) is offering a $1 million prize to the team which can "design and build a kW-scale inverter with the highest power density (at least 50 Watts per cubic inch)." Going from cooler-sized to tablet sized, they say, would make whole lot of things better, and the prize is reserved for the best performing entrant.
"Our testing philosophy is to not look inside the box. You provide us with a box that has 5 wires coming out of it: two DC inputs, two AC outputs and grounding connection and we only monitor what goes into and comes out of those wires, along with the temperature of the outside of your box, over the course of 100 hours of testing. The inverter will be operating in an islanded more—that is, not tied or synced to an external grid. The loads will be dynamically changing throughout the course of the testing, similar to what you may expect to see in a residential setting." he application must be filled out in English, but any serious applicants can sign up, "regardless of approach suggested or team background, will be successful in registering." Registration runs though September.
KDE Community writes: The KDE Community is proud to announce KDE Frameworks 5.0. Frameworks 5 is the next generation of KDE libraries, modularized and optimized for easy integration in Qt applications. The Frameworks offer a wide variety of commonly needed functionality in mature, peer reviewed and well tested libraries with friendly licensing terms. There are over 50 different Frameworks as part of this release providing solutions including hardware integration, file format support, additional widgets, plotting functions, spell checking and more. Many of the Frameworks are cross platform and have minimal or no extra dependencies making them easy to build and add to any Qt application.
KentuckyFC writes: The idea that light waves can push a physical object is far from new. But a much more recent idea is that a laser beam can also pull objects like a tractor beam. Now a team of Australian physicists has used a similar idea to create a tractor beam with water waves that pulls floating objects rather than pushes them. Their technique is to use an elongated block vibrating on the surface of water to create a train of regular plane waves. When the amplitude of these waves is small, they gradually push the surface of the water along, creating a flow that pushes floating objects with it. However, when the amplitude increases, the waves become non-linear and begin to interact with each other in a complex way. This sets up a flow of water on the surface in the opposite direction to the movement of the waves. The result is that floating objects--ping pong balls in the experiment--are pulled towards the vibrating block, like a tractor beam.
Sorry but calling R from Python just doesn't cut it. Some of the best tools in R rely on complex data structures that are not compatible with Rpy. Plus Rpy support on windows is abysmal.
You are better off using Python for all non-stats scripting, get your data set up, then analyze and plot with R.
In my experience, R is better for non-programmers precisely because it doesn't often behave like a typical programming language. It is *designed* for statistical analysis and so for someone just starting out it can be very intuitive.
I work for the government half time and am a graduate student the other half. Of course I am furloughed, but on top of that, all the data for my research comes from NOAA which has shut down all its websites! Basically I am stuck doing diagnostics on data I happen to already have. Just loving my gov't right now....
DaBombDotCom writes: R, a popular software environment for statistical computing and graphics, version 3.0.0 codename "Masked Marvel" was released yesterday. From the announcement: "Major R releases have not previously marked great landslides in terms of new features. Rather, they represent that the codebase has developed to a new level of maturity. This is not going to be an exception to the rule. Version 3.0.0, as of this writing, contains only [one] really major new feature: The inclusion of long vectors (containing more than 2^31-1 elements!). More changes are likely to make it into the final release, but the main reason for having it as a new major release is that R over the last 8.5 years has reached a new level: we now have 64 bit support on all platforms, support for parallel processing, the Matrix package, and much more."