Eclipse has always been a platform that unites different technology and makes it possible for developers to use the tools of their trade such as language editors, debuggers, profilers, version control, all in one environment. Until relatively recently scientists and researchers were at the mercy of fragmented suites of tools or closed-source workbenches. Actually many still are. But now with the increased adoption of Eclipse in the science sector, they too can look forward to the huge benefits of tool integration and interoperability as well as the resulting speed-up in productivity.
When it comes to tools-of-the-trade for scientists, Python is high on the list. This is in large part thanks to its fast, powerful libraries such as numpy and scipy. Also the dynamic and easy-to-use nature of the language lends itself well to the exploring necessary for experimental work. The accessibility of learning resources also contributes to Python being the language of choice for the scientist embracing programming.
So how do you go about providing a tight integration of Python in Eclipse; one that allows a user to seamlessly move data around and use it both interactively and within views? Continue reading “Integrating Python For High Throughput Science”
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