jFransham

Achieving warp speed with Rust

Contents:

• Number one optimization tip: don't
• Never optimize blindly
• Don't bother optimizing one-time costs
• Improve your algorithms
• CPU architecture primer
• Keep as much as possible in cache
• Keep as much as possible in registers

mrocklin

manuphatak

from setuptools import setup
from setuptools.command.test import test as TestCommand

class PyTest(TestCommand):
    def finalize_options(self):
        TestCommand.finalize_options(self)
        self.test_args = []
        self.test_suite = True

    def run_tests(self):

DasIch

from __future__ import print_function
from collections import OrderedDict

from prepareable import Prepareable

from six import with_metaclass, iteritems


class FooMeta(with_metaclass(Prepareable, type)):
    def __new__(cls, name, bases, attributes):

GaelVaroquaux

Cython example of exposing C-computed arrays in Python without data copies

The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.

The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy