semvec/pypi-packages huggingface dataset:
clippings2anki 0.2.1
clippings2anki
Requires Python: >=3.7

# Clippings2Anki

This is a simple script to convert the clippings.txt file from the Kindle to a txt file that can be imported into Anki.

## Installation

Install from PyPI ([pypi.org/project/clippings2anki](https://pypi.org/project/clippings2anki/)):

```
pip install clippings2anki
```

## Usage

### GUI usage

Just run the script with no arguments to open the GUI:

```
python -m clippings2anki
```

### CLI usage

```
python -m clippings2anki [My Clippings.txt] [language] -o [output.txt]
```

Language  is the language of the words in the clippings file. It is used to get the definitions from wiktionary. It's format is the english name of the language, e.g. "english", "german", "french", etc.

The script will read the words saved in the clippings file and output them **along with their definitions from wiktionary** to a txt file that can be imported into Anki.

For help see:

```
python -m clippings2anki --help
```
Lancerkit 1.0.0
Python SDK for Lancerkit API

# Lancerkit SDK

The Lancerkit SDK is a Python Library that provides an easy-to-use interface for integrating the Lancerkit web application into your own applications.

## Installation

You can install the Lancerkit SDK using npm:

```bash 
pip install lancerkit 
``` 

## Usage

First, you need to create an instance of the Lancerkit class with your Lancerkit API key (in order to get your key, please signup at [https://lancerkit.com](https://lancerkit.com) ):

```ruby
import lancerkit 
client = lancerkit.Lancerkit.new('YOUR_API_KEY') 
```

Then, you can call the different methods to interact with the application. 

For instance: 
```js 
data = client.list_documents(page=2, sort='-date').json()
```

## Contributing

If you would like to contribute to the Lancerkit SDK, please submit a pull request on Github.
pyfembed 0.1.6
Upload video with the Fembed API

# Pyfembed

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Script to upload Videos to Fembed via API

# Requeriments
Python >=3.6

# Usage

    pip install pyfembed

    import pyfembed import Pyfembed

    pyfembed = Pyfembed(client_id, client_secret)
    upload_url = pyfembed.get_upload_url()
    uploaded = pyfembed.upload(
        file_path=filepath, 
        url_upload=upload_url.data.url, 
        token=upload_url.data.token
    )
    video_id = pyfembed.get_video_id(uploaded['fingerprint'])

And ready, the file is uploaded to share