semvec/pypi-packages huggingface dataset:
jing 0.2.7
Download stock data and perform data analisys
License: MIT
Keywords: jing, sai, stock

# jing
This is a python libary, used for download stock data and perform data analisys.

## Installation
```bash
pip install jing

## Only 2 class exported

### downloader `D`
- **Function**: download the data from internet to local file system
- **Parameter**:
  - `_market` (str): us, cn, hk, default is us
- **Return Value**: No return value

### sample code

```python
import jing

d = jing.D(_market='hk')
d.download('00005')
frappe-powertools 0.0.1b1
Practical utilities, decorators, and hooks for Frappe developers.
License: MIT
Requires Python: >=3.10

# Frappe Powertools

[![GitHub](https://img.shields.io/badge/GitHub-Repository-181717?style=flat-square&logo=github)](https://github.com/0xsirsaif/frappe-powertools)

⚠️ BETA VERSION
dalla-data-p 0.1.5
data processing pipeline with deduplication, stemming, quality checking, and readability scoring, used for the DALLA Models
License: MIT
Requires Python: >=3.12
Keywords: arabic, nlp, data-processing, deduplication, stemming, readability, quality

# Dalla Data Processing

Unified Arabic data processing pipeline with deduplication, stemming, quality checking, and readability scoring.

## Features

- **Deduplication**: Remove duplicate entries using the Onion algorithm
- **Stemming**: Arabic text stemming using CAMEL Tools
- **Quality Checking**: Assess text quality with error detection
- **Readability Scoring**: Calculate readability metrics for Arabic text

## Installation

```bash
pip install dalla-data-processing
```

## Quick Start

```bash
# Deduplicate a dataset
dalla-dp deduplicate \
  --input /path/to/dataset \
  --output /path/to/output \
  --column text

# Check quality
dalla-dp quality \
  --input /path/to/dataset \
  --output /path/to/output \
  --column text

# Get dataset info
dalla-dp info /path/to/dataset
```

## Requirements

- Python 3.12+
- CAMEL Tools for stemming and quality checking
- Optional: Native onion binary for faster deduplication

## License

MIT