semvec/pypi-packages huggingface dataset:
awesome-monaco 0.0.2
Monac Studing Project
Requires Python: >=3.10

# Awesome-Monaco
#### little studing project for FoxmindED



###### usage:
> start.py [-h] --files FILES (--asc | --desc | --driver DRIVER)


###### options:

> -h, --help show this help message and exit
> 
> --files FILES    Enter your folder path
>
>--asc            direct order
>--desc           undirected order
> 
>--driver DRIVER  driver name
SungrowClient 0.1.0
A wrapper for talking to Sungrow Inverters via Modbus and HTTP API
Requires Python: >=3.5.0

<h2 align="center">Sungrow Inverter</h2>

  <p align="center">
    Collect data from Sungrow Inverters using ModbusTcpClient, <a href="https://github.com/rpvelloso/Sungrow-Modbus">SungrowModbusTcpClient</a> or <a href="https://github.com/bohdan-s/SungrowModbusWebClient">SungrowModbusWebClient</a> and export to various locations.
    <br />
    <br />
    <a href="https://sungather.net">Website Sungather.net</a>
    ·
    <a href="https://github.com/bohdan-s/SunGather/issues">Report Bug</a>
    ·
    <a href="https://github.com/bohdan-s/SunGather/issues">Request Feature</a>
  </p>
</div>
square-learn 2.0.0
A machine learning library in Python
Requires Python: >=3.7

Authors: Idris Wardere, Jeremy Li

# What is square-learn?

**square-learn** is a machine learning library in Python built using NumPy and pandas. This library provides tools for data processing as well as trainable regression and classification models.

# Purpose

The reason we started this project was to gain a better understanding of how machines learn. We realized that the best way to understand this was to make our very own machine learning library. This idea of "learning to learn" is actually what inspired the name of the project (learning<sup>2</sup>)!

# Development

We use a Github Project to help keep track of the development of the library. This project can be accessed using [this link](https://github.com/users/idriswardere/projects/1) or in the Projects tab of this repository.

# Usage

Each of our classes and functions have docstrings that can be referenced to find out how they can be used. You can also check out `demos.py` to see examples of our models & utilities being used.
hunt-match-telemetry 1.7.2
Automatically extract match data from Hunt: Showdown matches.
Requires Python: >=3.10,<4.0

[![Run Tests CI](https://github.com/anthonyprintup/hunt-match-telemetry/actions/workflows/run-tests.yaml/badge.svg)](https://github.com/anthonyprintup/hunt-match-telemetry/actions/workflows/run-tests.yaml)

# Hunt Match Telemetry
This tool is intended to be used for automatically logging match data provided by the game.

# Installation
- Create a new Python 3.11 [virtual environment](https://docs.python.org/3/library/venv.html) and activate it, <sup><sub>(optional)<sub/></sup>
- run `pip install hunt-match-telemetry` to install the package,
- download the [Steamworks SDK](https://partner.steamgames.com/downloads/steamworks_sdk.zip) and place it in `./resources/steam` as `steamworks_sdk.zip`.

# Instructions
- Run the CLI version of the package by executing `hunt-match-telemetry-cli` in your preferred terminal,
- join a match from the game,
- finish the game (extract, die, etc.),
- return to the lobby screen (or any UI element that updates the last match information).

# Screenshots
<!--suppress CheckImageSize, HtmlDeprecatedAttribute -->
<p align="center">
    Console log:
    <br/>
    <img alt="Console Log" src="https://github.com/anthonyprintup/hunt-match-telemetry/blob/main/assets/console_log_example.png?raw=true" />
</p>
<p align="center">
    Match log:
    <br/>
    <img alt="Match Log" src="https://github.com/anthonyprintup/hunt-match-telemetry/blob/main/assets/match_log_example.png?raw=true" />
</p>
<p align="center">
    Player log:
    <br/>
    <img alt="Player Log" src="https://github.com/anthonyprintup/hunt-match-telemetry/blob/main/assets/player_log_example.png?raw=true" width="715"/>
</p>

# Notice of Non-Affiliation and Disclaimer
We are not affiliated, associated, authorized, endorsed by, or in any way officially connected with Crytek GmbH, or any of its subsidiaries or its affiliates.

The official Crytek GmbH website can be found at https://www.crytek.com/.
The official Hunt: Showdown website can be found at https://www.huntshowdown.com/.

All product and company names are the registered trademarks of their original owners. The use of any trade name or trademark is for identification and reference purposes only and does not imply any association with the trademark holder of their product brand.