{ "info": { "author": "SGW", "author_email": "sgwoodjr@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 1 - Planning", "Intended Audience :: Science/Research", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: Implementation", "Topic :: Scientific/Engineering", "Topic :: Software Development", "Topic :: Software Development :: Libraries" ], "description": "|Travis| |Coveralls| |PyPI Version| |PyPI Downloads| |PyPI Python Versions|\r\n\r\nVelvet\r\n======\r\n\r\n*\"That's beautiful, what is that velvet?\"*\r\n\r\n.. note:: This project is still in the planning phase. The foundation of\r\n the project is still being configured. Once that is complete, actual\r\n signal processing functionality will be added.\r\n \r\nVelvet provides signal processing and communications algorithms in\r\nPython. Typical usage often looks like this::\r\n\r\n #!/usr/bin/env python\r\n\r\n import velvet as vt\r\n\r\nInstall\r\n-------\r\nRequirements/Dependencies\r\n\r\n- Python 2.7 or above\r\n- NumPy 1.7 or above\r\n- SciPy 0.13 or above\r\n- Matplotlib 1.3.1 or above\r\n\r\nThe package is available on\r\n`PyPI `__:\r\n\r\n::\r\n\r\n $ pip install velvet\r\n\r\nTo get the latest development work, clone from github and install as follows::\r\n\r\n $ git clone https://github.com/sgwoodjr/velvet.git\r\n $ cd velvet\r\n $ python setup.py install\r\n\r\nUnit testing::\r\n\r\n $ nosetests -v\r\n\r\nRun unit tests with a coverage report::\r\n\r\n $ nosetests -v --with-coverage --cover-html --cover-package=velvet\r\n\r\nContribute\r\n----------\r\n| Write a bug report or send a pull request.\r\n| Here is what others have done\r\n `contributors `__\r\n \r\nLicense\r\n-------\r\n\r\n| Copyright (c) 2015 SGW\r\n| The source code is available under the **New BSD License**.\r\n| See\r\n `LICENSE `__\r\n for further details.\r\n \r\n.. |Coveralls| image:: https://img.shields.io/coveralls/sgwoodjr/velvet.svg\r\n :target: https://coveralls.io/github/sgwoodjr/velvet?branch=master\r\n.. |Travis| image:: https://travis-ci.org/sgwoodjr/velvet.svg?branch=master\r\n :target: https://travis-ci.org/sgwoodjr/velvet\r\n.. |PyPI Version| image:: https://img.shields.io/pypi/v/velvet.svg\r\n :target: https://pypi.python.org/pypi/velvet\r\n.. |PyPI Downloads| image:: https://img.shields.io/pypi/dm/velvet.svg\r\n :target: https://pypi.python.org/pypi/velvet\r\n.. |PyPI Python Versions| image:: https://img.shields.io/pypi/pyversions/velvet.svg\r\n :target: https://pypi.python.org/pypi/velvet", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/sgwoodjr/velvet", "keywords": "signal processing,communications,DSP", "license": "LICENSE", "maintainer": "", "maintainer_email": "", "name": "velvet", "package_url": "https://pypi.org/project/velvet/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/velvet/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/sgwoodjr/velvet" }, "release_url": "https://pypi.org/project/velvet/0.0.2/", "requires_dist": null, "requires_python": null, "summary": "Beautiful signal processing and communications algorithms in Python", "version": "0.0.2" }, "last_serial": 1796515, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "3359b0e306bbd1bb64562e62f7a3ddc9", "sha256": "6ee287dfb7f70f8dd805647155266190825e9e9c45b656720a5e9a9c4809add3" }, "downloads": -1, "filename": "velvet-0.0.1.tar.gz", "has_sig": false, "md5_digest": "3359b0e306bbd1bb64562e62f7a3ddc9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4280, "upload_time": "2015-10-31T18:50:31", "url": "https://files.pythonhosted.org/packages/64/74/a1532972e1bd1f690b6efe144250057e09f07fbd41b966dc77c9fa74a54c/velvet-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "d5702236d25a11934d06588fd955b3ef", "sha256": "a1fb32b41bce4c372501fa4e62d8c884451fc632cd07ab76fc7f256f61904272" }, "downloads": -1, "filename": "velvet-0.0.2.tar.gz", "has_sig": false, "md5_digest": "d5702236d25a11934d06588fd955b3ef", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7234, "upload_time": "2015-11-02T02:07:18", "url": "https://files.pythonhosted.org/packages/5d/52/10d943045d7c17d2fd7e2d2eb2f32b7fdc3a313509f38c03d704847f4464/velvet-0.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "d5702236d25a11934d06588fd955b3ef", "sha256": "a1fb32b41bce4c372501fa4e62d8c884451fc632cd07ab76fc7f256f61904272" }, "downloads": -1, "filename": "velvet-0.0.2.tar.gz", "has_sig": false, "md5_digest": "d5702236d25a11934d06588fd955b3ef", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7234, "upload_time": "2015-11-02T02:07:18", "url": "https://files.pythonhosted.org/packages/5d/52/10d943045d7c17d2fd7e2d2eb2f32b7fdc3a313509f38c03d704847f4464/velvet-0.0.2.tar.gz" } ] }