Handy Parallel (Distributed) Computing in Python

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We all start our programming with single process in mind. But parallelization from scratch is a real headache. Things get worse when it comes to writing a spaghetti code in both short time and high performance, which is often the case doing data analysis.,In fact, cases like computation under different conditions, programs can be easily parallelized (distributed) with a few modifications using existed library like multiprocessing, IPython Parallel, and Celery.,This talk makes you not afraid of parallel or d

PyCon APAC 2014

PyCon APAC 2014 in Taiwan