Lightweight Python library for distributed computing and optimization

Welcome to Playdoh ! [The code is now stored on GitHub](https://github.com/rossant/playdoh) Playdoh is a pure Python library for distributing computations across the free computing units (CPUs and GPUs) available in a small network of multicore computers. Playdoh supports independent (embarassingly) parallel problems as well as loosely coupled tasks such as global optimizations, Monte Carlo simulations and numerical integration of partial differential equations. It is designed to be lightweight and easy-to-use and should be of interest to scientists wanting to turn their lab computers into a small cluster at no cost. Features Standalone, lightweight, easy-to-use pure Python library for small-scale distributed scientific computing Parallel/distributed version of `map`: call any Python function with different parameters in parallel over different