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 # Parallel run and write in python
 
+This modules aims at providing a simple way to run taks in parallel in a degraded environement :
+
++ Tasks can continue to run even if some fails, errors will be logged
++ Output and errors logs can be unified among the tasks
++ Logs can be order the same way as the tasks for better lisibility
+
+## Usage
+
 Do a parallel imap[_unordered](func, tasks) with numProc processes
 + func should always return something
 + Tasks should be an iterable which items are acceptable args for func