{ "info": { "author": "Pascal Bugnion", "author_email": "pascal@bugnion.org", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "Intended Audience :: Financial and Insurance Industry", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: MacOS", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Cython", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Topic :: Scientific/Engineering", "Topic :: Software Development" ], "description": "scikit-monaco\r\n=============\r\n\r\nscikit-monaco is a library for Monte Carlo integration in python. The core is\r\nwritten in Cython, with process-level parallelism to squeeze the last bits of\r\nspeed out of the python interpreter.\r\n\r\nA code snippet is worth a thousand words. Let's look at integrating \r\n``sqrt(x**2 + y**2 + z**2)`` in the unit square:\r\n\r\n.. code:: python\r\n\r\n >>> from skmonaco import mcquad\r\n >>> from math import sqrt\r\n >>> result, error = mcquad(\r\n ... lambda xs: sqrt(xs[0]**2+xs[1]**2+xs[2]**2), \r\n ... npoints=1e6, xl=[0.,0.,0.], xu=[1.,1.,1.])\r\n >>> print \"{} +/- {}\".format(result,error)\r\n 0.960695982212 +/- 0.000277843266684\r\n\r\nLinks\r\n-----\r\n\r\n* Home page: https://pypi.python.org/pypi/scikit-monaco\r\n* Documentation: http://scikit-monaco.readthedocs.org/en/latest/\r\n* Source code: https://github.com/scikit-monaco/scikit-monaco\r\n* Issues: https://github.com/scikit-monaco/scikit-monaco/issues\r\n\r\nInstallation\r\n------------\r\n\r\nFrom Pypi\r\n^^^^^^^^^\r\n\r\nThe easiest way to download and install scikit-monaco is from the Python\r\npackage index (pypi). Just run::\r\n\r\n $ python easy_install scikit-monaco\r\n\r\nOr, if you have pip::\r\n\r\n $ pip install scikit-monaco\r\n\r\nFrom source\r\n^^^^^^^^^^^\r\n\r\nClone the repository using::\r\n \r\n $ git clone https://github.com/scikit-monaco/scikit-monaco.git\r\n\r\nAnd run::\r\n\r\n $ python setup.py install\r\n\r\nin the project's root directory.\r\n\r\n\r\nTesting\r\n-------\r\n\r\nAfter the installation, run ``$ python runtests.py`` in the package's root directory.\r\n\r\n\r\nIssue reporting and contributing\r\n--------------------------------\r\n\r\nReport issues using the `github issue tracker `_.\r\n\r\nRead the CONTRIBUTING guide to learn how to contribute.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://pypi.python.org/pypi/scikit-monaco", "keywords": "", "license": "new BSD", "maintainer": "", "maintainer_email": "", "name": "scikit-monaco", 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