Metadata-Version: 2.1
Name: mathraining-scrapper
Version: 0.0.3
Summary: The Mathraining Website Scrapper
Home-page: https://github.com/Mathraining-Discord-Bot/MT-Scrapper
Author: Charlotte Thomas
Author-email: charlotte@sfiars.eu
License: UNKNOWN
Description: <h1 align="center">Welcome to MT-Scrapper 👋</h1>
        <p>
          <img alt="Version" src="https://img.shields.io/badge/version- 0.0.2-blue.svg?cacheSeconds=2592000" />
          <a href="#" target="_blank">
            <img alt="License: GNU GPLv3" src="https://img.shields.io/badge/License-GNU GPLv3-yellow.svg" />
          </a>
          <a href="https://twitter.com/coco33920" target="_blank">
            <img alt="Twitter: coco33920" src="https://img.shields.io/twitter/follow/coco33920.svg?style=social" />
          </a>
        </p>
        
        > The Scrapper for the Mathraining Website 
        
        ### 🏠 [Homepage](https://mathraining.be)
        
        ## Install
        
        ```bash
        python3 -m pip install mathraining-scrapper
        ```
        
        ## Usage
        
        **mathsite**
        ```python
        #Import the mathsite library 
        from mathraining.scrapper import mathsite
        Mathraining = mathsite.Mathraining() #Create the Mathraining object
        #Get the 10th best correctors sorted by total number of corrections
        correctors = Mathraining.top_correctors(10)
        #Get the 10th best correctors sorted by number of corrections within the last 2 weeks
        correctors = Mathraining.top_correctors(10, True)
        print(correctors)
        ```
        
        **mathuser**
        ```python
        from mathraining.scrapper import mathuser
        User = mathuser.User(10) #Create the object user of id 10
        print(User.name()) #print the name of the User
        print(User.info()) #print all the informations about this User
        ```
        
        See all the documentation here : https://therewillbeadocumentationsomeday.iassureyou
        
        ## Author
        
        👤 **Charlotte Thomas**
        
        * Twitter: [@coco33920](https://twitter.com/coco33920)
        * Github: [@coco33920](https://github.com/coco33920)
        
        ## Show your support
        
        Give a ⭐️ if this project helped you!
        
        ***
        _This README was generated with ❤️ by [readme-md-generator](https://github.com/kefranabg/readme-md-generator)_
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.5
Description-Content-Type: text/markdown
