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autosys-1.5.3
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مشاهده بیشترتوضیحات
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]
[][link_netlify] [][link_travis]
[][link_twitter] [][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_**.
---
[](https://coveralls.io) 
### **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 ...
[](https://skeptycal.mit-license.org/1976/) [](https://www.apple.com) [](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._
[](https://www.python.org/) 
---
## Contributing
[](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 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
_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
_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