semvec/pypi-packages huggingface dataset:
roaskins 1.1
Rivals of Aether skin and color code library
License: MIT
Keywords: roa,Rivals,of,Aether,skin

**Rivals of Aether skin package**

This is a fan-made package to generate skins for the game Rivals of Aether.

**Features**

- Generate new skins from color code
- Generate skins with random color
- Get the valid in-game color code of skins
- Generate preview images
- Show preview images in window
- Print preview images to file

**Documentation**

You can find the documentation here: https://htmlpreview.github.io/?https://github.com/ErrorThreeOThree/roaskins/blob/master/docs/build/html/index.html

**Example Application: Discord chat bot**

I have provided an example application using this library. This application is a discord chat bot that can generate random skins and post preview images in discord. You can find the source code here: https://github.com/ErrorThreeOThree/ROASkinBot
stolgo 0.1.0
Utilities for the analysis of financial data
License: MIT
Keywords: candlestick-patterns-detection,price-action,algorithmic-trading-strategies,breakout-detection,algorithmic-trading-python,algo-trading-software,nasdaq-python-api,price-action-python-api

<p align="center"><a href="http://stolgo.com" target="_blank"><img src="https://raw.githubusercontent.com/stockalgo/stolgo/master/stolgo.svg"></a> </p>

stolgo is a Python library for dealing with financial data such as stocks, derivatives, commodities, and cryptocurrencies.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install stolgo.

```bash
pip install stolgo
```
  
# For data feed, Stolgo uses [bandl.io](https://bandl.io), Where by just calling get_date API, You can get data from your favourite broker or directly from exchange website or yahoo finance.

## Usage

### Get the data, for example using yahoo finance module form [bandl](https://bandl.io)
```python
from bandl.yfinance import Yfinance
testObj = Yfinance() # returns 'Yfinance class object'.
#to get indian stock data
dfs = testObj.get_data("SBIN",start="21-Jan-2020") #retruns data from 21Jan 2020 to till today
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Kindly follow PEP 8 Coding Style guidelines. Refer: https://www.python.org/dev/peps/pep-0008/

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)
silverbot 1.0.0
No Advertisements On The Bots
License: MIT

# SilverBot
SilverBot Is Now In Its V2 Stage 

# Whats New?
.env Is Now A Customization File 
You Can Customize The Status But If You Want No Status Keep It Blank Or Put "Playing Fortnite"

# Info

For The Default Skin You Can Join Our [Discord Server](discord.gg/7cn33ZhZBg) And Do The Command ?item item name to get the ID of that cosmetic and put in the .env where it goes

In The V2 Update The Still Is No Join Message So Have Fun Trolling Your Friends :)

# Support

For Any More Support [Join Our Discord](discord.gg/7cn33ZhZBg)
fimdpenv 1.0.4
Simulation environments for FiMDP
License: MIT
Requires Python: >=3.6.0
Keywords: simulation-environment,grid-world,agent,cmdp,uuv-dynamics,street-network,formal-methods

# FiMDPEnv - Environments for FiMDP

**FiMDPEnv** is a Python package that provides realistic simulation environments that model real-world consumption Markov decision processes (consumption MDPs). The package is primarily designed to help in testing and benchmarking the tools in the [FiMDP] package. Apart from the consumption MDPs, the package also provides tools to analyze, manipulate, and visualize the environment and any strategies generated by the FiMDP package.

# Installation

FiMDPEnv can be installed using pip from PyPI
```
pip install -U fimdpenv
```

# Usage and Examples

The directory [examples](https://github.com/FiMDP/FiMDPEnv/tree/master/examples) contains several [Jupyter] notebooks that explain how to create instances of different environments and interface them with FiMDP. The following visualizations illustrate different environments currently available in FiMDPEnv. These environments model (i) the stochastic dynamics of one or more unmanned underwater vehicles (UUVs) operating with limited onboard energy storage capacity, and, (ii) the stochastic energy consumption of an autonomous electric vehicle (AEV) operating in the busy streets of Manhattan, New York.


<p align="center">
<img src="https://raw.githubusercontent.com/FiMDP/FiMDPEnv/master/images/uuvenvdemo.gif" alt="Multiple agents following energy-aware policies in SynchronousMultiAgentEnv environment." align="center" height="250" width="350" >
<br>
<em>Multiple agents following energy-aware policies in UUVEnv environment.</em>
</p>

<p align="center">
<img src="https://raw.githubusercontent.com/FiMDP/FiMDPEnv/master/images/aevenvdemo.png" alt="An agent following an energy-aware policy in AEVEnv." align="center" height="250" width="350" >
<br>
<em>An agent following an energy-aware policy in AEVEnv.</em>
</p>

### Contact
If you have any trouble with the installation, or have any questions, raise an issue or email [Pranay Thangeda](contact@prny.me).



[FiMDP]: (https://github.com/FiMDP/FiMDP)
[Jupyter]: https://jupyter.org
pynovaposhta 0.2.0
Novaposhta client for humans
License: MIT
Requires Python: >=3.6
Keywords: None

## Pynovaposhta - NovaPoshta client for humans


### Installation

```shell
>>> pip install pynovaposhta
```


### Using

```python
from novaposhta import Novaposhta

client = Novaposhta(api_key='<YOUR_API_KEY>')

# Each model in NovaPoshta API has a corresponding client method
areas = client.addresses().get_areas()
```

### Supported models

- [x] [Addresses](https://devcenter.novaposhta.ua/docs/services/556d7ccaa0fe4f08e8f7ce43/operations/58e5ebeceea27017bc851d67)
- [x] [Counterparties](https://devcenter.novaposhta.ua/docs/services/557eb8c8a0fe4f02fc455b2d/operations/557fdcb4a0fe4f105c087611)
- [ ] [Printing](https://devcenter.novaposhta.ua/docs/services/556d7280a0fe4f08e8f7ce40/operations/557ed645a0fe4f02fc455b31)
- [ ] [ScanSheets](https://devcenter.novaposhta.ua/docs/services/55662bd3a0fe4f10086ec96e/operations/556c4786a0fe4f0634657b65)
- [ ] [Common](https://devcenter.novaposhta.ua/docs/services/55702570a0fe4f0cf4fc53ed/operations/55702571a0fe4f0b6483890f)
- [ ] [AdditionalService](https://devcenter.novaposhta.ua/docs/services/58ad7185eea27006cc36d649/operations/58b6b830ff2c200cd80adb91)
- [ ] [AdditionalServiceGeneral](https://devcenter.novaposhta.ua/docs/services/58f722b3ff2c200c04673bd1/operations/58f7233eff2c200c04673bd2)
- [ ] [InternetDocument](https://devcenter.novaposhta.ua/docs/services/556eef34a0fe4f02049c664e/operations/557eb417a0fe4f02fc455b2c)


### TODO:
- [ ] Supporting all models 
- [ ] Async version 
- [ ] Verbose documentation