I don't have anything to add regarding your experiments with multiprocessing, but:
Israel Brewster <ijbrews...@alaska.edu> writes: > Which creates and populates an 800x1000 “grid” (represented as a flat > list at this point) of “boxes”, where a box is a > shapely.geometry.box(). This takes about 10 seconds to run. This seems like the kind of task NumPy <URL:http://www.numpy.org/> is designed to address: Generating and manipulating large-to-huge arrays of numbers, especially numbers that are representable directly in the machine's basic number types (such as moderate-scale integers). Have you tried using that library and timing the result? -- \ “You don't need a book of any description to help you have some | `\ kind of moral awareness.” —Dr. Francesca Stavrakoloulou, bible | _o__) scholar, 2011-05-08 | Ben Finney -- https://mail.python.org/mailman/listinfo/python-list
