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autosys-1.5.3


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توضیحات

System Utilities for Python on macOS.
ویژگی مقدار
سیستم عامل -
نام فایل autosys-1.5.3
نام autosys
نسخه کتابخانه 1.5.3
نگهدارنده ['skeptycal']
ایمیل نگهدارنده ['skeptycal@gmail.com ']
نویسنده skeptycal
ایمیل نویسنده skeptycal@gmail.com
آدرس صفحه اصلی https://skeptycal.github.io/autosys
آدرس اینترنتی https://pypi.org/project/autosys/
مجوز MIT
# [AutoSys][1] [![netlify badge](https://api.netlify.com/api/v1/badges/416b8ca3-82db-470f-9adf-a6d06264ca75/deploy-status)][link_netlify] [![Build Status](https://travis-ci.com/skeptycal/autosys.svg?branch=master)][link_travis] [![Twitter Follow](https://img.shields.io/twitter/follow/skeptycal.svg?style=social)][link_twitter] [![GitHub followers](https://img.shields.io/github/followers/skeptycal.svg?label=GitHub&style=social)][link_github] --- ### **An even more desperate way to make requests for Humans™.** - Why does this have to suck so much? - Why do my tools make me work for them? - Why can't I ask for something I want to know and see it in a way I want to see it? - Why haven't my tools changed in 30 years? - Why do we need 100 different cryptic patchworks of messy code to get something done? - Why do I have to change and contort to accomodate my tools? ## _Why don't my tools work with the way humans think?_ --- ### _If computers can do so much, why can't we do any of the things we want to do?_ That is the question that we seek to answer with **_Implore_**. --- [![test coverage](https://img.shields.io/badge/test_coverage-100%25-6600CC.svg?logo=Coveralls&color=3F5767)](https://coveralls.io) ![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/3454/badge) ### **Integrates easily in a simple, human way with:** - Google Calendars, Contacts, Drive, Docs, Sheets - Dictionaries, References, and language tools - Analyze news for fake stories and spoofs - Professional Journal searches - Linux/macOS Command Line - simple image edits and pdfs - and nearly any public API - Latex / BibTex documents - macOS Text Messaging - Common web browsers - Microsoft Excel, Word - Reference formatting - Text Messaging - NLP Processes - Apple iTunes - Blog Posts - Youtube - Netflix _Tell your computer what to do!"_ > Copyright © 2018-2020 [Michael Treanor](https:/skeptycal.github.com) | [MIT License](https://opensource.org/licenses/MIT) - enjoy ... [![License](https://img.shields.io/badge/License-MIT-darkblue)](https://skeptycal.mit-license.org/1976/) [![macOS Version](https://img.shields.io/badge/macOS-10.15%20Catalina-orange?logo=apple)](https://www.apple.com) [![code style: prettier](https://img.shields.io/badge/code_style-prettier-ff69b4.svg?logo=prettier)](https://github.com/prettier/prettier) --- ## Implore (with Autosys) version 0.4.4 ### Features include: - **Send text messages** based on results and presets - Figure out the annoying **Netflix** recommendations - **Watch** for cookies and other local security issues - **Research** topics based on logic and language - **NLP analysis** of web pages or sets of pages - Test **API** functionality and build an interface - Perform spoof analysis and **fact checking** - **Block** specific activities of certain sites - **Convert** websites to 3d object visuals - Timing social media and blog **posts** - Interact with underlying **database** - Create a **command line** interface - **Parse** html and language results - Watch **Twitter** for specific topics - Create link and image **catalogs** - Collect **metadata** and tag info - **Google Calendar** automation - **Collect** website html code - **Timestamp** html versions - Direct Request from user - Create visual **sitemaps** - Calendar **reminders** - **CSS** Updating - **Scripting** - **BibTex** - **Time** _Implore requires Python 3.8+ and works best with **lxml** (fast html) and **ujson** (fast json) installed. Text messaging requires macOS._ [![GitHub Pipenv locked Python version](https://img.shields.io/badge/Python-3.8-yellow?color=3776AB&logo=python&logoColor=yellow)](https://www.python.org/) ![Django v3](https://img.shields.io/badge/Django-v3-%23092E20?logo=django&color=#339933) --- ## Contributing [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v1.4%20adopted-ff69b4.svg)](CODE_OF_CONDUCT.md) **Please feel free to offer suggestions and changes** (contribution instructions below). I have been coding for many years, but mostly as a side activity ... as a tool to assist me in other endeavors ... so I have not had the 'hard time' invested of constant coding that many of you have. --- ## A solid foundation > Implore uses _Requests_ and _Beautiful Soup_ to parse html and scrape web data. Website output if mostly _Flask_ based. The majority of other functionality is original code. --- ## Requests: HTTP for Humans™ ![Requests graphic](images/requests-sidebar.jpg) _Requests is an elegant and simple HTTP library for Python, built for human beings._ [Requests Documentation](https://requests.readthedocs.io/en/master/) > Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data. Keep-alive and HTTP connection pooling are 100% automatic, thanks to urllib3. #### Beloved Features _Requests is ready for today’s web._ - Keep-Alive & Connection Pooling - International Domains and URLs - Sessions with Cookie Persistence - Browser-style SSL Verification - Automatic Content Decoding - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - HTTP(S) Proxy Support - Multipart File Uploads - Streaming Downloads - Connection Timeouts - Chunked Requests - .netrc Support --- ## Beautiful Soup ![Beautiful Soup graphic](images/bs4.png) _Elixir and Tonic_ "The Screen-Scraper's Friend" [Beautiful Soup Documentation](http://www.crummy.com/software/BeautifulSoup/bs4/doc/) Copyright (c) 2004-2019 Leonard Richardson MIT License > Beautiful Soup uses a pluggable XML or HTML parser to parse a (possibly invalid) document into a tree representation. Beautiful Soup provides methods and Pythonic idioms that make it easy to navigate, search, and modify the parse tree. --- ## Flask ![Flask](images/flask.png) _Web development, one drop at a time_ [Flask Documentation](https://palletsprojects.com/p/flask/) > Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks. [1]: (https://www.github.com/skeptycal/autosys) [link_netlify]: (https://app.netlify.com/sites/mystifying-keller-ab5658/deploys) [link_travis]: (https://travis-ci.com/skeptycal/autosys) [link_twitter]: (https://www.twitter.com/skeptycal) [link_github]: (https://www.github.com/skeptycal)


نیازمندی

مقدار نام
>=2.24.0,<3.0.0 requests
>=0.10.1,<0.11.0 toml
>=0.4.3,<0.5.0 colorama
>=7.1.2,<8.0.0 click
>=1.4.4,<2.0.0 appdirs


زبان مورد نیاز

مقدار نام
>=3.8,<4.0 Python


نحوه نصب


نصب پکیج whl autosys-1.5.3:

    pip install autosys-1.5.3.whl


نصب پکیج tar.gz autosys-1.5.3:

    pip install autosys-1.5.3.tar.gz