{ "info": { "author": "Todd Miller", "author_email": "jmiller@stsci.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved", "Operating System :: MacOS", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: C", "Programming Language :: Python", "Topic :: Scientific/Engineering", "Topic :: Software Development" ], "description": "Numarray is an array processing package designed to efficiently\nmanipulate large multi-dimensional arrays. Numarray is modelled after\nNumeric and features c-code generated from python template scripts,\nthe capacity to operate directly on arrays in files, and improved type\npromotions. Numarray provides support for manipulating arrays\nconsisting of numbers, strings, records, or objects using the same\nbasic infrastructure and syntax.", "description_content_type": null, "docs_url": null, "download_url": "http://sourceforge.net/projects/numpy", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://www.stsci.edu/resources/software_hardware/numarray/", "keywords": null, "license": "http://www.stsci.edu/resources/software_hardware/pyraf/LICENSE", "maintainer": null, "maintainer_email": null, "name": "numarray", "package_url": "https://pypi.org/project/numarray/", "platform": "Windows,Linux,Solaris,Mac OS-X", "project_url": "https://pypi.org/project/numarray/", "project_urls": { "Download": "http://sourceforge.net/projects/numpy", "Homepage": "http://www.stsci.edu/resources/software_hardware/numarray/" }, "release_url": "https://pypi.org/project/numarray/1.5.1/", "requires_dist": null, "requires_python": null, "summary": "numarray: array processing for numbers, strings, records and objects.", "version": "1.5.1" }, "last_serial": 9699, "releases": { "0.6": [], "0.7": [], "0.8": [], "1.0": [], "1.1": [], "1.3.0": [], "1.3.1": [], "1.3.2": [], "1.3.3": [], "1.4.0": [], "1.4.1": [], "1.5.0": [], "1.5.1": [] }, "urls": [] }