semvec/pypi-packages huggingface dataset:
dlgpu-assistant 1.6
Use this tools to improve your ANN
License: MIT

# Deep Learning Assistant

This library offers some tools to make the process of creating and training an ANN eassier and faster.

For projects and libraries like this visit my [GitHub Profile](https://github.com/Ruben17exe)

## Installing

```
pip install dlgpu_assistant
```

```
import dlgpu_assistant
from dlgpu_assistant.dl_tools import DlAssistant, DlTools, DlLogger
```

### Install Requires

```
tensorflow-gpu==2.9.0
pandas==1.4.3
numpy==1.23.1
scikit-learn==1.1.2
```
INFINITE-BATTLE-RPG 1.1
This package contains implementation of the offline RPG "INFINITE_BATTLE_RPG" on command line interface.
License: MIT

# INFINITE_BATTLE_RPG

**Infinite Battle RPG** is an offline RPG where the player can face an infinite number of rounds.

## Executable File

The executable file is downloadable at 
https://github.com/PythonApkDev/PythonApkDev.github.io/blob/main/beginner-projects/INFINITE_BATTLE_RPG/INFINITE_BATTLE_RPG/dist/infinite_battle_rpg/infinite_battle_rpg.

## Source Code

Python code used to create the game is available in 
https://github.com/PythonApkDev/PythonApkDev.github.io/blob/main/beginner-projects/INFINITE_BATTLE_RPG/INFINITE_BATTLE_RPG/infinite_battle_rpg.py.

## Installation

**pip install INFINITE_BATTLE_RPG**

## How to Use the Executable File?

First, open by double-clicking the file "infinite_battle_rpg". 
How the executable file looks like is shown in the image below (the file is enclosed with a red rectangle).

### Image 1

![Executable File](images/Executable%20File.png)

## Getting Started

After you run the game, you will be asked to enter your name. Then, you will be redirected to the main menu.

### Image 2

![Getting Started](images/Getting%20Started.png)

## Main Menu

### Image 3

After you enter your name, you will be asked whether you want to continue playing the game or not.

![Main Menu](images/Main%20Menu.png)

## Gameplay

During gameplay, you can battle in an infinite number of rounds. You will be back to the first round once you are 
defeated by the enemy. You will keep proceeding to the next round if you win the battle.

### Image 4

![Gameplay](images/Gameplay.png)
addition-mathSdp 0.1
Simple package fro solving a sudoku
License: MIT
Keywords: sudoku

# PySudokuSolver - The simplest Python Sudoku Solver out there!

Simple package for finding the possible outcomes of a 9X9 sudoku by Subhradipta Paul


Github : https://github.com/SDP010                                                          
LinkedIn : https://www.linkedin.com/in/subhradipta-paul-079005238/



## Usage

Bellow is the description of how to use this package and use it for solving a sudoku in python.

###  Getting it

To download the package, either fork this github repo or simply use Pypi via pip.
```
$ pip install PySudokuSolverSDP
```

### Importing the package

```
$ from solver.SudokuSolver import sudoku_solver
```
### Creating object and using the solver method

```
$ slv_obj = sudoku_solver()
$ slv_obj.solve()
```
License
----

MIT License

Copyright (c) 2018 Joel Barmettler

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.
py3-PyHue 0.2a0
Python3 Module for controlling Philips Hue lights
License: MIT

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/py3-PyHue?style=for-the-badge&logo=python&logoColor=green)](https://python.org)
[![PyPI](https://img.shields.io/pypi/v/py3-pyhue?label=py3-PyHue&logo=python&logoColor=green&style=for-the-badge)](https://pypi.org/project/py3-PyHue/)
[![PyPi - Downloads](https://img.shields.io/pypi/dm/py3-PyHue?label=Downloads&style=for-the-badge)](https://pypi.org/project/py3-PyHue)
[![DocsImage](https://img.shields.io/badge/Documentation-click%20here!-informational?style=for-the-badge)](https://jkam.notion.site/Documentation-9d709a907aad4f15ac86da4c168c014f)
# Python3 Module for controlling Philips Hue lights.
## Quick Start Guide:
### Installation:
#### without VirtualENV:
```
python3 -m pip install py3-PyHue
```

#### with VirtualENV:
Windows:
```cmd
.\<envname>\Scripts\python.exe -m pip install py3-PyHue
```
Linux: 
```bash
./<envname>/bin/python3 -m pip install py3-PyHue
```

### Setup:
Here you have 2 options: Either the Auto-Discovery or the manual setting!

Auto-Discovery:
```python
    from PyHue import *
    bridge = Bridge()
```
Manual:
```python
    from PyHue import *
    bridge = Bridge(ip='<your ip address>')
```

Now a new instance of the Hue class is created. If you already used this package, you will notice, that the package will automagicaly connect to the Hue bridge. To restart the discovery process, stop the Python3 script and delete the file '.cached_ip_important' from the root directory (i.e. There, where the main script is located).

After a bridge was discovered, the authentication process will start. You will have to press the button on the front of the Bridge. After that, press the enter key to proceed. After this process you will have a new file '.cached_username_important' in the root directory.

#### Now you can start coding!

### Usage:
All of the available methods are described in the documentation! (It's linked above! You should really check it out!)

To list all lights, you can use this!:
```python
    from PyHue import *
    bridge = Bridge()
    print(bridge.get_all_lights())
```

But for example, to toggle the light with the id '1', you can use the following code:
```python
    from PyHue import *
    bridge = Bridge()
    
    light = Lights(bridge, 1)
    light.toggle_power()

```

To turn the light on, use this: (In this case using light-id '1' again)
```python
    from PyHue import *
    bridge = Bridge()

    light = Lights(bridge, 1)
    light.power = True

    # or to turn it off:
    light.power = False 

```

Finally, if you want to make custom API-Requests, you should use this:
```python
    from PyHue import *
    bridge = Bridge()
    print(bridge.api_request('<METHOD>', '<ENDPOINT>', <body (dict)>))
```

## Happy Coding!
## More information is in the Docs linked above!