semvec/pypi-packages huggingface dataset:
Feedly2Instapaper 0.1.5
Feedly2Instapaper adds your "Saved for later" entries to Instapaper and removes those entries in Feedly.
License: MIT
Requires Python: >=3.7

# Feedly2Instapaper
Feedly2Instapaper is a simple Python script that connects to your Feedly and Instapaper accounts to add your "Saved for later"-entries as a new bookmark in Instapaper. If the bookmark was created , the corresponding entry in Feedly is removed.

This script is meant to be used with a cron-job to automate the synchronisation.

## Installation

`python3 -m pip install feedly2instapaper`

## Usage
1. Prerequisites:
   * for Feedly _(You can request your developer access token [here](https://feedly.com/v3/auth/dev))_
      * client_id
      * access_token 
   * for Instapaper  _(You can request your OAuth token [here](https://www.instapaper.com/main/request_oauth_consumer_token))_ 
      * username
      * password
      * token
      * token secret

2. Fill in those credentials in `.env-example`
3. Rename `.env-example` to `.env`
4. Create a new cron-job that executes `python3 -m feedly2instapaper`
5. Sit back, relax and share a [coffee](https://ko-fi.com/barabazs) with me.


## Contributing
You can contribute by code (open a PR) or by generous coffee/crypto donations.


## Donations

[![ko-fi](https://www.ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/T6T51XKUJ)

|Ethereum|Bitcoin|
|:-:	|:-:	|
|0x6b78d3deea258914C2f4e44054d22094107407e5|bc1qvvh8s3tt97cwy20mfdttpwqw0vgsrrceq8zkmw|
|![eth](https://raw.githubusercontent.com/Barabazs/Barabazs/master/.github/eth.png)|![btc](https://raw.githubusercontent.com/Barabazs/Barabazs/master/.github/btc.png)|
Js2Py 0.74
JavaScript to Python Translator & JavaScript interpreter written in 100% pure Python.
License: MIT

Translates JavaScript to Python code. Js2Py is able to translate and execute virtually any JavaScript code.

Js2Py is written in pure python and does not have any dependencies. Basically an implementation of JavaScript core in pure python.


    import js2py

    f = js2py.eval_js( "function $(name) {return name.length}" )

    f("Hello world")

    # returns 11

Now also supports ECMA 6 through js2py.eval_js6(js6_code)!

More examples at: https://github.com/PiotrDabkowski/Js2Py
drona 13.0.0
This is a data science related question asnwering model for the beginners
License: MIT
Keywords: data science,datascience,machine learning,deep learning

INTRODUCTION

I am drona (Data Reader Of New Age). 

I have many experiences to share with data science and machine learning aspirants. 

I am always with you to make your learning journey superfast and structured.

I am equiped with 'tellme' question answering model and 'letsread' easy study model.

INSTALLATION

In python environment, you can call me with following two lines

pip install drona

from drona import tellme, letsread

USE

You can ask me any data science and machine learning related question during your learning journey.

e.g.

tellme("What are the main subjects of data science?")

From version 12.0.0, you can smoothly read any topic of data science using 'letsread' model

e.g.

letsread("python")