Ten quick tips for using a Raspberry Pi.

OverviewMuch of biology (and, indeed, all of science) is becoming increasingly computational.We tend to think of this in regard to algorithmic approaches and software tools, as well as increased computing power.There has also been a shift towards slicker, packaged solutions-which mirrors everyday life, from smart phones to smart homes.As a result, it's all too easy to be detached from the fundamental elements that power these changes and to see solutions as 'black boxes'.The major goal of this piece is to use the example of the Raspberry Pi, a small, general-purpose computer, as the central component in a highly developed ecosystem that brings together elements like external hardware, sensors and controllers, state-of-the-art programming practices, and basic electronics and physics, all in an approachable and useful way.External devices and inputs are easily connected to the Pi, and it can in turn control attached devices very simply.So, whether you want to use it to manage laboratory equipment, sense and sample the environment, teach bioinformatics, control your home security, or make a model lunar lander, it's all built from the same basic principles.To quote Richard Feynman, 'What I cannot create, I do not understand'.

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