{ "info": { "author": "Venkata Pingali", "author_email": "pingali@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering :: Information Analysis" ], "description": "PyDataSentry - Memory for Data Science\n======================================\n\nThe combination of datasets, questions, and nature of analysis is\ngrowing everyday. Data scientists find it hard to keep track of all\nthe different datasets they dealt with, what they did with those\ndatasets, and what they presented to the model-audience (business etc)\n\npydatasentry package allows auditability of modeling code and data by\nlogging all relevant information for every single model run (e.g., a\nregression) You could use this for audit past results for correctness,\nshare models and results with peers, search past results to avoid\nrepition of work.\n\nNote that code is very alpha. Expect it to break often. Please try it\nout and give me feedback/create issues.\n\nPlease see `docs`_ for detailed documentation.\n\n.. _docs: http://pydatasentry.readthedocs.org/en/latest/\n", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/FourthLion/pydatasentry/tarball/0.1.4", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/FourthLion/pydatasentry", "keywords": "pydata,pandas,documentation,regressions,tool", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "pydatasentry", "package_url": "https://pypi.org/project/pydatasentry/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pydatasentry/", "project_urls": { "Download": "https://github.com/FourthLion/pydatasentry/tarball/0.1.4", "Homepage": "http://github.com/FourthLion/pydatasentry" }, "release_url": "https://pypi.org/project/pydatasentry/0.1.4/", "requires_dist": null, "requires_python": null, "summary": "Memory tool for Python-Based Data Science", "version": "0.1.4" }, "last_serial": 1809234, "releases": { "0.1.3": [ { "comment_text": "", "digests": { "md5": "dbb3f9360d269addf5fcad54a6167128", "sha256": "40ee1186feb3b5f10b3d071e8eac350fb4035816c55d5925c792e211f3be08b0" }, "downloads": -1, "filename": "pydatasentry-0.1.3.tar.gz", "has_sig": false, "md5_digest": "dbb3f9360d269addf5fcad54a6167128", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 12224, "upload_time": "2015-11-10T08:05:47", "url": "https://files.pythonhosted.org/packages/c4/4c/a58c5964871c6b954af23764437f05f3d3026d8351b10a83f28ff832d4af/pydatasentry-0.1.3.tar.gz" } ], "0.1.4": [ { "comment_text": "", "digests": { "md5": "009be531c55f41871de4f57563d3a86c", "sha256": "619a9a5754bf1a353d12bbf21eb16d2cdcf86271f321b72b0b6574827aff2d56" }, "downloads": -1, "filename": "pydatasentry-0.1.4.tar.gz", "has_sig": false, "md5_digest": "009be531c55f41871de4f57563d3a86c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 12115, "upload_time": "2015-11-10T08:52:04", "url": "https://files.pythonhosted.org/packages/cf/e7/ddbe65f05b172df38a97125664ac9139825ea63f9f0bd6073bdb6af88f24/pydatasentry-0.1.4.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "009be531c55f41871de4f57563d3a86c", "sha256": "619a9a5754bf1a353d12bbf21eb16d2cdcf86271f321b72b0b6574827aff2d56" }, "downloads": -1, "filename": "pydatasentry-0.1.4.tar.gz", "has_sig": false, "md5_digest": "009be531c55f41871de4f57563d3a86c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 12115, "upload_time": "2015-11-10T08:52:04", "url": "https://files.pythonhosted.org/packages/cf/e7/ddbe65f05b172df38a97125664ac9139825ea63f9f0bd6073bdb6af88f24/pydatasentry-0.1.4.tar.gz" } ] }