semvec/pypi-packages huggingface dataset:
NetHyTech-MCV 1.1
A package for controlling mouse actions using hand gestures
Requires Python: >=3.6

# NetHyTech-MCV: Neural Hand Technology - Mouse Control Vision

Welcome to NetHyTech-MCV, the cutting-edge Python package that harnesses the power of neural networks and computer vision to control your computer's mouse with hand gestures. Experience the future today with NetHyTech-MCV!

## Installation

Install NetHyTech-MCV with a single command using pip:

```bash
pip install NetHyTech-MCV
```

## Features

### Gesture Recognition

NetHyTech-MCV utilizes state-of-the-art machine learning algorithms to recognize complex hand gestures with high accuracy.

### Real-time Control

Control your computer's mouse in real-time simply by moving your hand. Say goodbye to traditional input devices and hello to intuitive control!

### Advanced Actions

Perform advanced actions such as left-click, right-click, double-click, and even take screenshots effortlessly using hand gestures.

## Requirements

NetHyTech-MCV requires the following dependencies:

- OpenCV
- MediaPipe
- PyAutoGUI
- NumPy
- pynput

Install these dependencies using pip:

```bash
pip install opencv-python mediapipe pyautogui numpy pynput
```

## Usage

```python
from NetHyTech_MCV import MCV

MCV()
```

## Examples

### Basic Usage

```python
import NetHyTech_MCV

NetHyTech_MCV.MCV()
```

### Customize Gestures

```python
from NetHyTech_MCV import MCV
```

## Contributing

We welcome contributions from the community to make NetHyTech-MCV even more powerful and versatile. Feel free to fork the repository, make your changes, and submit a pull request.

## License

NetHyTech-MCV is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.

## Support
FileFly 0.1.2
适用于64位Windows的文件查找工具
Requires Python: >=3.7
Keywords: File, Windows, Find, Find File

# FileFly

* 一个用Rust开发的文件工具
* 适用于64位Windows
* 简单易用  无其他依赖
* 速度超快  10W+文件全部搜索完成仅需0.6秒

# 示例

```python
from re import compile as Regex
from time import time

import FileFly


def Wrap(Fun):
    def _Wrap(*args, **kwargs):
        Time_Start = time()
        Results = Fun(*args, **kwargs)
        print(f"{Fun.__name__} 耗时 {time() - Time_Start} 秒")
        return Results
    [setattr(_Wrap, E, getattr(Fun, E))
     for E in ["__module__", "__name__", "__doc__",
               "__qualname__", "__annotations__"]]
    return _Wrap


@Wrap
def TestAllFile():
    print(len(FileFly.GetAllFile("D:\\", True)))


@Wrap
def TestPngFile():
    print(len(FileFly.GetAllFile("D:\\", True, Regex(r".*\.png$"), False, False)))


if __name__ == "__main__":
    TestAllFile()
    TestPngFile()

>>> 109193
>>> TestAllFile 耗时 0.5151987075805664 秒
>>> 5346
>>> TestPngFile 耗时 0.6114356517791748 秒
```

# 任务目标

* [X] 获取系统所有硬盘
* [X] 获取硬盘全部文件(HS系统元文件自动跳过)
* [X] 实现原生正则匹配
* [ ] 适配Linux
* [ ] ...

# 现存问题以及解决方案

* 系统盘根目录全部文件耗时较长, 应避免直接读取系统盘根目录, 可对需要的目录进行过滤
vnpy-btse 2024.5.8
BTSE trading gateway for VeighNa Evo.
Keywords: quant, quantitative, investment, trading, algotrading, btse, btc, crypto

# BTSE trading gateway for VeighNa Evo

<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-2024.5.8-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.10|3.11|3.12-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## Introduction

This gateway is developed based on BTSE's REST and Websocket API, and supports spot, futures contract and swap contract trading.

For derivatives contract trading, please notice:

1. Only supports cross margin mode.
2. Only supports one-way position mode.

## Install

Users can easily install ``vnpy_btse`` by pip according to the following command.

```
pip install vnpy_btse
```

Also, users can install ``vnpy_btse`` using the source code. Clone the repository and install as follows:

```
git clone https://github.com/veighna-global/vnpy_btse.git && cd vnpy_btse

python setup.py install
```

## A Simple Example

Save this as run.py.

```
from vnpy_evo.event import EventEngine
from vnpy_evo.trader.engine import MainEngine
from vnpy_evo.trader.ui import MainWindow, create_qapp

from vnpy_btse import BtseGateway


def main():
    """Start VeighNa Trader"""
    qapp = create_qapp()

    event_engine = EventEngine()
    main_engine = MainEngine(event_engine)
    main_engine.add_gateway(BtseGateway)

    main_window = MainWindow(main_engine, event_engine)
    main_window.showMaximized()

    qapp.exec()


if __name__ == "__main__":
    main()
```
django-suit-squad 0.2.29
Modern theme for Django admin interface.

===========
Django Suit
===========

**Modern theme for Django admin interface**.

Django Suit is alternative theme/skin/extension for `Django <http://www.djangoproject.com>`_ administration interface.

* Project home: http://djangosuit.com/
* Live demo: http://djangosuit.com/admin/


License
=======

* Django Suit is licensed under `Creative Commons Attribution-NonCommercial 3.0 <http://creativecommons.org/licenses/by-nc/3.0/>`_ license.
* Licence and pricing: http://djangosuit.com/pricing/


Docs & Support
==============

* Documentation: http://django-suit.readthedocs.org/
* Support: http://djangosuit.com/support/
* `Demo app <http://djangosuit.com/admin/>`_ repository is here: `django-suit-examples <https://github.com/darklow/django-suit-examples>`_
* IRC Channel: Feel free to join us at ``#django-suit`` on ``irc.freenode.net`` for a chat
* Follow `on Twitter <http://twitter.com/DjangoSuit>`_ to get latest news

Changelog
=========

See `CHANGELOG.rst <https://github.com/darklow/django-suit/blob/develop/CHANGELOG.rst>`_.


Contributing
============

See `Contributing documentation <http://django-suit.readthedocs.org/en/develop/contributing.html>`_


Build Status
============

Django Suit uses Travis CI to perform tests on different Django and Python versions.

Tested using Python: 2.5-3.4. Django: 1.4-1.10. Develop / Master:

.. |develop| image:: https://travis-ci.org/darklow/django-suit.png?branch=develop
   :alt: Build Status - develop branch
   :target: http://travis-ci.org/darklow/django-suit

.. |master| image:: https://travis-ci.org/darklow/django-suit.png?branch=master
   :alt: Build Status - master branch
   :target: http://travis-ci.org/darklow/django-suit

|develop| |master|


Preview
=======

.. image:: https://raw.github.com/darklow/django-suit/develop/docs/_static/img/django-suit.png
   :alt: Django Suit Preview
   :target: http://djangosuit.com/admin/


v2.0-dev
========

Check out new v2.0-dev version notes: https://github.com/darklow/django-suit/issues/475