{ "info": { "author": "Riccardo Metere", "author_email": "rick@metere.it", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: End Users/Desktop", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: English", "Operating System :: POSIX", "Programming Language :: Python", "Programming Language :: Python :: 3", "Topic :: Software Development", "Topic :: Software Development :: Libraries", "Topic :: Utilities" ], "description": "NumEx: a quick-and-easy explorer for numerical data\n===================================================\n\nThis Python software implements a quick and easy explore for numerical data.\n\n\nInstallation\n------------\nThe recommended way of installing the software is through\n`PyPI `_:\n\n.. code:: shell\n\n $ pip install numex\n\nAlternatively, you can clone the source repository from\n`Bitbucket `_:\n\n.. code:: shell\n\n $ mkdir numex\n $ cd numex\n $ git clone git@bitbucket.org:norok2/numex.git\n $ python setup.py install\n\n(some steps may require additional permissions depending on your configuration)\n\nThe software does not have additional dependencies beyond Python and its\nstandard library.\n\nIt was tested with Python 2.7 and 3.6.\nOther version were not tested.\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://bitbucket.org/norok2/numex", "keywords": "automatic,ui,user interface,user-interface,gui,graphical user-interface,tui", "license": "GPLv3+", "maintainer": "", "maintainer_email": "", "name": "numex", "package_url": "https://pypi.org/project/numex/", "platform": "", "project_url": "https://pypi.org/project/numex/", "project_urls": { "Homepage": "https://bitbucket.org/norok2/numex" }, "release_url": "https://pypi.org/project/numex/0.0.0.4/", "requires_dist": [ "numpy", "matplotlib", "appdirs", "pytk", "setuptools", "flyingcircus", "h5py", "blessed ; extra == 'blessed'", "nibabel ; extra == 'nibabel'" ], "requires_python": "", "summary": "A quick-and-easy explorer for numerical data.", "version": "0.0.0.4" }, "last_serial": 5585535, "releases": { "0.0.0.0": [], "0.0.0.3": [ { "comment_text": "", "digests": { "md5": "e4a65a14895901cf546ab1e7b2a1a702", "sha256": "713d93b6dccf39305a9a593d7c1331afd8ada84fa606dee666b0961cc1c28a7b" }, "downloads": -1, "filename": "numex-0.0.0.3-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "e4a65a14895901cf546ab1e7b2a1a702", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 970741, "upload_time": "2018-07-19T11:46:26", "url": "https://files.pythonhosted.org/packages/f0/e3/3bca4b291c423ec08c736060bbf3494a067fea0ec3880dacbc869cc7e3db/numex-0.0.0.3-py2.py3-none-any.whl" } ], "0.0.0.4": [ { "comment_text": "", "digests": { "md5": "6559c9d236a91b91967ccc8f25788083", "sha256": "218ad9a7f8cde3e37b47acfbe5700d7f23c9b0b051ddcc5ffe2b247b980eb9c1" }, "downloads": -1, "filename": "numex-0.0.0.4-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "6559c9d236a91b91967ccc8f25788083", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 980164, "upload_time": "2019-07-25T20:35:22", "url": "https://files.pythonhosted.org/packages/30/ef/d5090552180e4f8b31445dd1f2e2ceaafe78e772047ec4a7e39906bb3bdb/numex-0.0.0.4-py2.py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "6559c9d236a91b91967ccc8f25788083", "sha256": "218ad9a7f8cde3e37b47acfbe5700d7f23c9b0b051ddcc5ffe2b247b980eb9c1" }, "downloads": -1, "filename": "numex-0.0.0.4-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "6559c9d236a91b91967ccc8f25788083", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 980164, "upload_time": "2019-07-25T20:35:22", "url": "https://files.pythonhosted.org/packages/30/ef/d5090552180e4f8b31445dd1f2e2ceaafe78e772047ec4a7e39906bb3bdb/numex-0.0.0.4-py2.py3-none-any.whl" } ] }