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Sometimes manipulating a whole dataset with transformations or combinations can be slow and resource intensive; a transformed dataset might not even fit into memory! To circumvent this issue, SeqTools implements on-demand execution under the hood, so that computations are only run when needed, and only for actually required elements while ignoring the rest of the dataset. This helps to keep memory resources down to a bare minimum and accelerate the time it take to access any arbitrary result. This on-demand strategy helps to quickly define dataset-wide transformations and probe a few results for debugging or prototyping purposes, yet it is transparent for the users who still benefit from a simple and convenient list-like interface.

SeqTools: A python package for easy transformation, combination and evaluation of large datasets.