Development¶

IOSACal is written in the Python programming language, and it makes heavy use of the NumPy library for the internal management of calibration curves and calibrated samples. Calibration curves, radiocarbon dates and calibrated curves are handled internally as ndarray objects, making it ridiculously easy to manipulate and plot them.

Generation of plots is done through Matplotlib, another Python library built on top of NumPy. The optional interpolation is done through the SciPy interpolate.interp1d method.

Installing the above packages is needed in order to run IOSACal on your computer. SciPy is optional but highly recommended: without it interpolation will be unavailable.

Development is tracked with Mercurial, a fast decentralized version control system. If you want to participate in IOSACal’s development, you’re welcome. Please start from the main source repository at bitbucket.