The Joblib Python Library handles frequent problems – like parallelization, memorization, and saving and loading objects – in almost no time, giving programmers more freedom to push on with their core tasks.

The Python Data Analysis Library, or Pandas, is built on top of the fast math library NumPy and makes analysis of large volumes of data an easy and efficient experience.

Put your software stack on the JVM with a few simple commands.

The language you choose to use affects I/O patterns and performance. We track a simple write I/O pattern with C and look at how to improve performance.

Getting started in the HPC world requires learning to write parallel applications and learning to administer and manage clusters. We take a look at some ways to get started.

Through the years, many languages have tried to improve or even replace JavaScript, including CoffeeScript, which runs in all JavaScript Runtime Environments and compiles into JavaScript.

Parallel programming is not easy, but one tool you can use to help parallelize your application is OpenMP. Most compilers are compatible with OpenMP and allow you to parallelize your code on a single node.

PHP is a powerful scripting language that has built-in database connectivity, simple syntax, one of the world’s largest support groups, and respect in enterprise scripting circles. When you have a scripting problem, PHP is good for what ails you.

Can this new language deliver on bold claims of fast, easy, and parallel?

PHP Shell and Shell In A Box put a shell in your browser, thus facilitating web server management – even from the nearest Internet café and without SSH access.