{ "info": { "author": "Arthur RENAUD", "author_email": "arthur.b.renaud@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 1 - Planning", "License :: OSI Approved", "Natural Language :: French", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3.6", "Topic :: Communications" ], "description": "#SCUTS - Standard shortcuts\n\nThis repo intends to holds good programming heuristics for Data Scientist wanting to code smoothly.\n\nBased on self-experience, it combines \"heuristics\" and \"tricks\" in order to make the Pythonista's life easier. \n\nThis repo also holds some scripts in the ressources/scripts section that should make people's life easier when it comes to installs on Ubuntu !\n\n##\u00a0Remarks : \n\nThis folder uses pipenv for dependencies handling. Go PIPENV ! \n\n## Image functions\n\n## Scraping functions\n\n## Other interesting ressources \n\n- Documenting : https://github.com/ericholscher/sphinx-tutorial/blob/master/start.rst\n- FRENCH : if you want to deploy amazing python packages and look for a good tuto : http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx3/notebooks/td1a_unit_test_ci_correction.html\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "scuts", "package_url": "https://pypi.org/project/scuts/", "platform": "", "project_url": "https://pypi.org/project/scuts/", "project_urls": null, "release_url": "https://pypi.org/project/scuts/2019.1.9.1/", "requires_dist": null, "requires_python": "", "summary": "Python Standard Shortcuts", "version": "2019.1.9.1" }, "last_serial": 4676775, "releases": { "2019.1.9.1": [ { "comment_text": "", "digests": { "md5": "798da16ee5ca1d8acde76c3b761f3321", "sha256": "04dddf723b1e6249dce19fc2e4b8020dfc068bb34873529a70c48119b819134a" }, "downloads": -1, "filename": "scuts-2019.1.9.1-py3-none-any.whl", "has_sig": false, "md5_digest": "798da16ee5ca1d8acde76c3b761f3321", "packagetype": "bdist_wheel", "python_version": "3.6", "requires_python": null, "size": 49301, "upload_time": "2019-01-09T13:16:10", "url": "https://files.pythonhosted.org/packages/2c/f7/b7d00022049c860c7e9a377718e47b178d456d0e471b356c6f34afe08580/scuts-2019.1.9.1-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "798da16ee5ca1d8acde76c3b761f3321", "sha256": "04dddf723b1e6249dce19fc2e4b8020dfc068bb34873529a70c48119b819134a" }, "downloads": -1, "filename": "scuts-2019.1.9.1-py3-none-any.whl", "has_sig": false, "md5_digest": "798da16ee5ca1d8acde76c3b761f3321", "packagetype": "bdist_wheel", "python_version": "3.6", "requires_python": null, "size": 49301, "upload_time": "2019-01-09T13:16:10", "url": "https://files.pythonhosted.org/packages/2c/f7/b7d00022049c860c7e9a377718e47b178d456d0e471b356c6f34afe08580/scuts-2019.1.9.1-py3-none-any.whl" } ] }