semvec/pypi-packages huggingface dataset:
custom-vsearch 1.0
Search for specific letters into a given phrase.

custom_vsearch
====================

What is this?
--------------

This is a module created basically for test and learning purposes.

    search4letters function takes a positional argument called 'phrase', which is any given string
    and an optional argument called 'letters' (by default 'aeiou').
    The function search the letters in the given phrase and returns a set with the found elements.
    
    ---Arguments----------(default value)
    1st - 'phrase'
    2nd - 'letters' ('aeiou')



Requirements
------------

* python >= 3.9


Credits
------------

Ariel Denaro
utencilos 0.0.3
A collection of useful code for working with data.
Requires Python: >=3.7

# utencilos

A collection of useful code for working with data. "Utencilos" is the spanish word for utensils.

### Dev Tips

To install package in dev mode to venv:
```
$ pip install -e .
```

To create distribution archives
```
$ python3 -m pip install --upgrade build
$ python3 -m build
```

To upload package to test pypi
```
$ python3 -m twine upload -r testpypi dist/*
```


https://packaging.python.org/en/latest/
aiopypexels 1.0.1
An asynchronous wrapper for Pexels API based on aiohttp, which additionally allows to download photos in any of avaliable resolutions.
Requires Python: >=3.6
Keywords: pexels,api,photos


## An asynchronous wrapper for Pexels API based on aiohttp, which additionally allows to download photos in any of avaliable resolutions.


## Installation

Install aiopypexels with pip

```bash
  pip install aiopypexels
```
    
## Examples

Searching photos by query 
```python
from aiopypexels import AioPexels
from aiopypexels.types import PhotoSearchResponse

api = AioPexels(API_KEY)

async def get_photos_by_query(query: str) -> PhotoSearchResponse:
    response = await api.get_photos_by_query(query)
    print(response.total_results)  # 498

```
Getting photo by ID 
```python
from aiopypexels import AioPexels
from aiopypexels.types import Photo

api = AioPexels(API_KEY)

async def get_photo_by_id(id: int) -> Photo:
    photo = await api.get_photo_by_id(id)

```
Downloading photo by ID 
```python
from aiopypexels import AioPexels

api = AioPexels(API_KEY)

async def download_photo_by_id(query: str) -> PhotoSearchResponse:
    response = await api.download_photo_by_id(photo_id=9999, destination = './photos/test.jpeg', quality='original')

```


## Links
[![](https://img.shields.io/github/stars/ggindinson?label=GitHub%20Repo&style=social)](https://github.com/ggindinson/aiopypexels)

[Latest Version](https://pypi.python.org/pypi/aiopypexels/)


## Feedback

I would be very pleased for a star :-)
disclog 0.0.7
A logging package that sends logs to Discord webhooks.
Requires Python: >=3.7

# disclog

`disclog` is a Python package for logging messages to a Discord channel using a webhook. It provides a simple and easy-to-use interface for sending messages of different levels (info, warning, and error) to a Discord channel, with customizable formatting and colors.

## Installation

You can install `disclog` using pip:

`pip install disclog `

## Usage

To use disclog in your Python project, first import the `Disclog` class:

```python
from disclog import Disclog
```
Then create a new instance of Disclog with your Discord webhook URL:

```
logger = Disclog('https://discord.com/api/webhooks/1234567890/abcdefghijklmnopqrstuvwxyz')
```

You can then use the info(), warning(), and error() methods to send messages of different levels to your Discord channel:

```
logger.info('Server started successfully on port 8080')
logger.warning('Authentication failed for user: jane.doe@example.com')
logger.error('Oops! Something went wrong')
```

## License

`disclog` is released under the MIT License. See LICENSE for more information.

```
MIT License

Copyright (c) [year] [fullname]

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```
konlp 0.0.58
Korean Natural Language Toolkit
Requires Python: >=3
Keywords: NLP,KoNLTK,NLPK,koNLP,konltk,nlpk,konlp,korean natural langugae processing,natural language processing,parsing,tagging,tokenizing,morpheme anaylisis,chunk,natural language,text anayltics

KoNLP is Natural Language Processing Toolkit and Python package for
Korean natural Language precessing. KoNLP currently requires Python 3.5.