semvec/pypi-packages huggingface dataset:
proglearn 0.0.7
A package to implement and extend the methods desribed in 'Omnidirectional Transfer for Quasilinear Lifelong Learning'
License: MIT

# ProgLearn

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`ProgLearn` (**Prog**ressive **Learn**ing) is a package for exploring and using progressive learning algorithms developed by the [neurodata group](https://neurodata.io).

- **Installation Guide:** [http://proglearn.neurodata.io/install.html](http://proglearn.neurodata.io/install.html)
- **Documentation:** [http://proglearn.neurodata.io](http://proglearn.neurodata.io)
- **Tutorials:** [http://proglearn.neurodata.io/tutorials.html](http://proglearn.neurodata.io/tutorials.html)
- **Source Code:** [http://proglearn.neurodata.io/reference/index.html](http://proglearn.neurodata.io/reference/index.html)
- **Issues:** [https://github.com/neurodata/proglearn/issues](https://github.com/neurodata/proglearn/issues)
- **Contribution Guide:** [http://proglearn.neurodata.io/contributing.html](http://proglearn.neurodata.io/contributing.html)

Some system/package requirements:
- **Python**: 3.6+
- **OS**: All major platforms (Linux, macOS, Windows)
- **Dependencies**: tensorflow, scikit-learn, scipy, numpy, joblib
PyAmazonWebScraper 0.0.5
Python Web Scraper : Pranav Sai
License: MIT
Keywords: Python Web Scraper

Created by Pranav Sai ; 

Youtube: https://www.youtube.com/channel/UC3VQFrTfI-sI3LZtVKFhLDg

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First Release: Simple Amazon Web Scraper
    
    
    

CHANGELOG
=============================
0.0.1(3/13/2022)
-----------------------------------
-First Release: Simple Amazon Web Scraper

    page=WebScraper(URL)

    print(page.title())

    print(page.price())

    print(page.rating())

    print(page.total_reviews())

    print(page.availability())