semvec/pypi-packages huggingface dataset:
shelfdb 1.1.1
A tiny documents database for Python
Requires Python: >=3.10.0
Keywords: dict,json,database

# Shelf DB
<img src="https://raw.githubusercontent.com/nitipit/shelfdb/master/docs/shelf.png" style="max-width: 400px;">

## Introduction
**Shelf DB** is a tiny document database for Python to stores **documents** or **JSON**-like data.

## Get it
```shell
$ pip install shelfdb shelfquery
```

## Start asyncio server
```shell
$ shelfdb
Serving on ('127.0.0.1', 17000)
Database : db
pid : 12359
```

> <bits-tag>uvloop</bits-tag> built-in already to make it faster. See [uvloop](https://github.com/MagicStack/uvloop).

## Sync/Async query client through network.
```python
import shelfquery

# Sync client point to 127.0.0.1:17000
db = shelfquery.db()

# Make it async client
db.asyncio()

# Make it sync client again
db.sync()
```

## Store data
```python
db.shelf('note').insert({
    'title': 'Shelf DB',
    'content': 'Simple note',
    'datetime': datetime.utcnow()})
```

## Flexible query API with similar syntax
```python
db.shelf('note')\
    .filter(lambda note:
        note['title'] == 'Shelf DB')\
    .sort(key=lambda note: note['datetime'])
    .run()
```
No need to learn more syntax. Let's just query using `filter`, `slice`, `sort`, `map`, `reduce` which almost the same to Python built-in functions.

## Regular expression
Python reqular expression `re` can be use inside query function
```python
import re
db.shelf('note')\
    .filter(lambda note:
        re.match(r'.*DB$', note['title']))\
    .run()
```

<h2 style="display: inline-block; width: auto; margin-bottom: 0;">Tiny</h2>
<span style="vertical-align: text-bottom;">
    <bits-tag class="bg-c">shelfdb ~ 12kB</bits-tag>
    <bits-tag class="bg-c">shelfquery ~ 4kB</bits-tag>
</span>

Runtime code is small, easy to install. <bits-tag>Shelf DB</bits-tag> also works on **Raspberry Pi**.
kwdataengineer 0.2.0
키움증권 자동매매 프로그램을 위한 데이타엔지니어링 패키지. 32/64비트 모두 지원해야함
Requires Python: >=3.8

# KiwoomDataEngineer

- 키움증권 자동매매 프로그램을 위한 데이타엔지니어링 패키지.
- 32/64비트 모두 지원해야함.
Mostpopular-News-Kompas.com 0.0.5
This package will get the Mostpopular News From Kompas.com
Requires Python: >=3.6

# The Mostpopular News Kompas.com
This package will get the Mostpopular News From Kompas.com |
Kompas.com is a web portal that contains online news and articles on Indonesia.
Kompas.com is one of the most popular news sites in Indonesia.

## How it work?
This package will scrape from [kompas](https://www.kompas.com/) to get the Mostpopular News From Kompas.com.

It package will use BeautifulSoup4 and Request,
to produce output in the form of JSON that is ready to be used in web or mobile applications

## How To Use!

    import beritaterpopuler

    if __name__ == '__main__':
        print("main application")
        result = mostpopuler_news.data_extraction()
        mostpopuler_news.data_show(result)

### Author

Deni Rahmawan