semvec/pypi-packages huggingface dataset:
maghilchi 1.1.2
maghilchi interpreter
License: MIT
Requires Python: >=3.8
Keywords: maghilchi

# Maghilchi
 Maghilchi is a interpreted language with a natural language-like syntax with tamil words.

# Why Maghilchi?
In Tamil Nadu(India), There are millions of students who studies in tamil medium schools or schools who use tamil as medium of teaching subjects. Many of them wants to learn coding since most of the proggraming language is in English they see that as barrier. So I decided to make proggraming language that use tamil in syntax instead of English which will eventually breaks that language barrier. This will help many students from tamil mediums to become a good programmer in the future, Even some of them might use proggraming skills to create product to solve real life problems.

# Goals for Maghilchi:
1. Simple and natural language based Programming language
2. Hassle Free Installation and configuration so that anyone can install easily and use!
3. Need to add various functionality such as GUI Creation, networking support etc which will encourage kids to create games etc
4. Memory Safe programming language for security of applications.

# Future Plans for Maghilchi
1. Create a package manager to install packages and remove packages for maghilchi

## How to Access Source Code of Maghilchi.

Until first version of stable release source code of Maghilchi will be closed source as I need to do lots of code cleanup as code is clumsy as of now.

## Usage/Examples

Copmiler Usage:

```
mg++ Hello_world.mgpp

```

Code :
```
அச்சிடு "Hello-World"

```
Simple Arithmetic Using maghilchi Code :

```
பொறுத்து a செய்ய 1
பொறுத்து b செய்ய 1
கூட்டு a செய்ய b
கூட்டு 1 செய்ய b
அச்சிடு b
அச்சிடு a
```

Users can also Use Maghilchi IDE instead for commandline 
Which you can download from following repository and Maghichi IDE requires you to install mg++ via Pypi




## Installation

```bash
pip3 install maghilchi

```
Will add standalone installation binary in stable release.


## Authors

- [@Harish](https://github.com/harishsg99)



## Acknowledgements

I like to thank following people for their books and courses
1.  Dmitry Soshnikov for this course https://www.udemy.com/course/essentials-of-interpretation/ 
2.  David for his parser design for Natural language.
3.  C++ and G++ (Name of Maghilchi interpreter and file format inspired from C++)
vnpy-hx 1.0.1
Huoxiang gateway for VeighNa quant trading framework.
License: MIT
Requires Python: >=3.7
Keywords: quant,quantitative,investment,trading,algotrading

# VeighNa框架的火象交易接口

<p align="center">
  <img src ="https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png"/>
</p>

<p align="center">
    <img src ="https://img.shields.io/badge/version-1.0.1-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.7|3.8|3.9|3.10-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

基于火象交易API开发，支持期货和外汇仿真交易。

## 安装

安装环境推荐基于3.3.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】。

直接使用pip命令：

```bash
pip install vnpy_ctp
```

下载源代码后，解压后在cmd中运行：

```bash
pip install .
```

## 使用

以脚本方式启动（script/run.py）：

```python3
from vnpy.event import EventEngine
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import MainWindow, create_qapp

from vnpy_hx import HxGateway


def main():
    """主入口函数"""
    qapp = create_qapp()

    event_engine = EventEngine()
    main_engine = MainEngine(event_engine)
    main_engine.add_gateway(HxGateway)
    
    main_window = MainWindow(main_engine, event_engine)
    main_window.showMaximized()

    qapp.exec()


if __name__ == "__main__":
    main()
```
vnpy-uf 1.0.1
Hundsun UF2.0 gateway for vn.py quant trading framework.
License: MIT
Requires Python: ==3.7
Keywords: quant,quantitative,investment,trading,algotrading

# VeighNa框架的恒生云UF2.0证券测试交易接口

<p align="center">
  <img src ="https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png"/>
</p>

<p align="center">
    <img src ="https://img.shields.io/badge/version-1.0.1-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.7-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

基于恒生T2SDK接口封装开发的恒生云UF2.0证券测试环境交易接口，行情数据由TuShare数据服务提供。

## 安装

安装需要基于3.3.0版本的【[**VeighNa**](https://github.com/vnpy/vnpy)】和Python3.7环境。

直接使用pip命令：

```
pip install vnpy_uf
```


或者下载解压后在cmd中运行：

```
python setup.py install
```

## 使用

以脚本方式启动：

```
from vnpy.event import EventEngine
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import MainWindow, create_qapp

from vnpy_uf import UfGateway


def main():
    """主入口函数"""
    qapp = create_qapp()

    event_engine = EventEngine()
    main_engine = MainEngine(event_engine)
    main_engine.add_gateway(UfGateway)
    
    main_window = MainWindow(main_engine, event_engine)
    main_window.showMaximized()

    qapp.exec()


if __name__ == "__main__":
    main()
```

## 连接

请注意，连接前请在【全局配置】处配置好TuShare数据服务。
vnpy-comstar 1.0.3
ComStar gateway for VeighNa quant trading framework.
License: MIT
Requires Python: ==3.7
Keywords: quant,quantitative,investment,trading,algotrading,comstar

# VeighNa框架的ComStar底层接口

<p align="center">
  <img src ="https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png"/>
</p>

<p align="center">
    <img src ="https://img.shields.io/badge/version-1.0.3-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.7-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

基于中汇亿达ComStar银行间交易系统的量化API接口封装开发。

## 安装

安装环境推荐基于3.3.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】和Python3.7环境。

直接使用pip命令：

```
pip install vnpy_comstar
```


或者下载源代码后，解压后在cmd中运行：

```
pip install .
```

## 使用

以脚本方式启动（script/run.py）：

```
from vnpy.event import EventEngine
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import MainWindow, create_qapp

from vnpy_comstar import ComstarGateway


def main():
    """主入口函数"""
    qapp = create_qapp()

    event_engine = EventEngine()
    main_engine = MainEngine(event_engine)
    main_engine.add_gateway(ComstarGateway)
    
    main_window = MainWindow(main_engine, event_engine)
    main_window.showMaximized()

    qapp.exec()


if __name__ == "__main__":
    main()
```