semvec/pypi-packages huggingface dataset:
ps2joycln 0.0.3
A client to convert UDP packets from a PS2 console into keyboard events
Requires Python: >=3.10

# PS2 Joy Client

Use PlayStation 2 input accessories that cheap "PS2 to USB" dongles don't recognize by dumping gamepad input into UDP packets.

This relies on a [server](https://github.com/adlerosn/ps2joysrv) to be running in your PS2 console.

## Dependencies (will be installed automatically)

- [keyboard>=0.13.5](https://pypi.org/project/keyboard/)

## Installing

0. Download and install [Python](https://www.python.org/downloads/)
1. On a terminal/command prompt, enter: `python -m pip install ps2joycln`

## Running

On Linux: #`python3 -m ps2joycln` (yes, as root (unfortunately))

On Windows: >`python -m ps2joycln`

## Configuration

It defaults the locating of the configuration file to `~/.config/ps2joycln.ini` (or `%USERPROFILE%\.config\ps2joycln.ini`), on port `1469`, creating if not exists.

The `-c` CLI switch allows to specify another place, which can be used as profiles.

The configuration does not hot-reload. Close the application (`Ctrl+C` or whatever) and reopen to apply changes.

On Linux, it requires running as root.

### osu!mania 4k with dance mat

I personally use the snippet below with [DDR skin](https://osu.ppy.sh/community/forums/topics/845193):

```
[pad2]
dir_up=j
dir_dw=f
dir_lf=d
dir_rg=k
```

Reminder: osu!mania 4k is meant to be played with keyboard. It might be an exhausting experience.
sqlearn 0.0.1
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.