study Framework for building data studies in a pipe-and-filter style that abstracts over issues such as multiprocessing
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Python library Python framework Python framework data data studies

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Framework for building data studies in a pipe-and-filter style that abstracts over issues such as multiprocessing Creating studies of large amounts of data can be a tricky task. A common need is the ability to reconfigure a particular study quickly or even at runtime in order to change the exact nature of the information extracted. However, the reality is that dealing with issues such as parallelism hampers flexibility.The study framework provides three type of 'study phase' which are wrapped around your domain-specific worker code in such a way that the choice of processing model for each phase and the connections between them can be changed with only minor modifications to the code or even reconfigured at runtime. Requirements: · Python

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