Python

Exposing processor features to dynamic languages

It always causes me exquisite pain to see someone laboriously copying down a long number from their computer screen, just to type it in to another window or application. Doesn't it for you?

After all, doesn't everyone know about the cut-copy-paste keys? I'm talking about selecting text with your cursor and using control-C for copy and control-V for paste.

Dynamic Languages take over the internet

What would happen if you were hauling a trailer down the road, and suddenly you realized that the trailer you thought you were pulling passes you on the highway. (Which I guess can actually happen, I just saw a video capture of this exact disaster, happening to a trucker). You might not feel kind of blind-sided!

This is kind of the way I feel when a technology trend sneaks up on me and suddenly I feel like I'm way behind the curve.

Powered by MKL Accelerating NumPy and SciPy Performance with Intel® MKL- Python

NumPy/SciPy are scientific libraries for Python. R is a programming language for statistics computing. These tools, especially their open source packages, have gained popularity among programmers in scientific and statistic computing. A fundamental component in both NumPy/SciPy and R are the linear algebra functions, which rely on the standard BLAS and LAPACK routines. Intel® Math Kernel Library (Intel® MKL) provides a high performance implementation of BLAS and LAPACK that is optimized for Intel architectures.

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