semvec/pypi-packages huggingface dataset:
ZhongLP 0.0.4
A Zhongwen (Chinese) Language Processing Package.

# ZhongLP

A Zhongwen (Chinese) Language Processing Package.


## Description

```
from ZhongLP.converter import Converter
from ZhongLP.segmenter import Segmenter
from ZhongLP import utils_zh

```


## Installation

From PyPI distribution system:

```
pip install ZhongLP
```


Or from the code:

```
git clone https://github.com/Li-Ming-Fan/ZhongLP
cd ZhongLP
make clean install
```


Or just incorporate the directory ZhongLP/ to your project.



## Usage

For usage of this package, please refer to the demo, or the repositories:

TODO


</br>
esl-s3 0.6.0
elasticsearch_loader plugin for AWS s3
Keywords: elastic

esl-s3
======

Plugin for listing and indexing files from S3

Installation
------------

``pip install esl-s3``

Usage
-----

::

   $ elasticsearch_loader --index lol --type cake s3 --help
   Usage: elasticsearch_loader s3 [OPTIONS] BUCKET

   Options:
     --prefix TEXT  AWS_S3_PREFIX
       -h, --help     Show this message and exit.

Examples
--------

``elasticsearch_loader --index index --type type s3 mybucket``
esl-redis 0.6.0
elasticsearch_loader plugin for redis
Keywords: elastic

esl-redis
=========

Read continuously from a redis list(s) and index to elasticsearch

Installation
------------

``pip install esl-redis``

Usage
-----

::

   $ elasticsearch_loader --index lol --type cake redis --help
   Usage: elasticsearch_loader redis [OPTIONS] LIST_NAMES...

   Options:
     --host TEXT                  Redis host
     --port INTEGER               Redis port
     --db INTEGER                 Redis db
     --list-read-timeout INTEGER  block for X seconds, or until a value gets
                                  pushed on to one of the lists. If timeout is 0,
                                  then block indefinitely.
     -h, --help                   Show this message and exit.

Examples
--------

``elasticsearch_loader --index index --type type redis my_list_name``
gryibwc 0.9.4
Get a word count for books read in a year
Requires Python: >=3

# gryibwc
**G**oodreads **Y**ear **I**n **B**ooks **W**ord **C**ount  
Get a word count for all books read in a year. :book:

Word count might be more accurate than pages, 
since the page count depends on formatting and whatnot.
However, the word counts are estimated based on the length 
of the audio book version, which is still comparable across books.
In any case, it makes for an interesting comparison of years.

## Installation
`pip install gryibwc`

## Usage
```
$ gryibwc -h
usage: gryibwc [-h] [--version] [--fast] userid year

positional arguments:
  userid      goodreads user id
  year        desired year

optional arguments:
  -h, --help  show this help message and exit
  --version   show program's version number and exit
  --fast      skip wait time - risk getting banned
```
Output e.g.:
```
Overall word count for year 2019: 4731925
```

The ID of the Goodreads user can be found in the profile URL.  
E.g.: `https://www.goodreads.com/user/show/26026244-lorenz`  
=> ID: `26026244`

Also you need to specify an API key in the `PUBLIC_KEY` environment
variable. Get your key [here](https://www.goodreads.com/api/keys).

## Dependencies
* Beautiful Soup
* https://github.com/LoLei/goodreads-api-client-python
  * Be sure to use my fork since the main API request is
    not implemented in the original source