semvec/pypi-packages huggingface dataset:
testpongpong 0.0.1
Shortcuts funcitions.
Keywords: python,sqlite,keyboard,pixel capture,Pillow,teminal


# Shōtokatan
Functions that facilitate certain actions. Which needs to cite some parts for it to work.

## Features

- **crypto_key** create a key of any size.
- **sql_create_values** generates the value within the cited table and columns.
- **sql_create_table** create the table and its columns.
- **file_to_binary**, onvert digital data to binary format.
- **hex_to_rgb**. convert hex to rgb.
- **rgb_to_hex** convert rgb to hex.
- **cal_math** solve math accounts and show if you want.
- **token_generate** Just generate a Token with "uuid4".
- **write_file** It places the desired content in the file and maintains the
     information that exists within the file..
- **read_file** Show the current date.
- **check_date** Show the current time.
- **check_time** its every key piano on keyboard.
- **keyboard_piano** its every key piano on keyboard (https://virtualpiano.net/).
- **check_file** It will check if the file exists.
- **console** Execute command in computer terminal.
- **tempo** Delay execution for a given number of milliseconds.
- **detect_pixel** Check color pixel.
- **random_num** Random Value.
- **openweb** Open website with a Key.
- **pos_color** Shows color and coordinate based on mouse pointer.
- **sorteio** makes a random choice from a list.
- **on_off** One key for activate and other to desactivate.
- **sorteio_porcentagem** Generate random percentage.
- **click** clicks on the screen based on the mentioned coordinates.
- **screen** Collects the cited coordinates of the corners. Useful to check the colors of pixels in a certain area.
- **check_imports** Checks if pip(s) exists, if not, it does the installation if possible.
- **check_def** Look for "def" in the file behind the return.

Developed by Aleph from Lotexiu(c) 2020
python-moonalloy 0.0.1
Python bindings for MoonAlloy
Requires Python: >=3.6

# moonalloy

Smelting moonstone and corroded metal to forge a powerful alloy! (Rust + Lua)

## What is moonalloy?

Moonalloy is a library for scientific computing and data analysis.
It contains functionality for manipulating mathematical objects
like Arrays (Vectors) and Matrices.

It also has structures for handling data tables and functions to analyze that data.

## Goals

The aim of the project is to a all-in-one, go-to library for scientific computing
and data analysis. The functionality should include:

* Tools for numeric linear algebra
* Tools for computational science
* Tools for statistics and machine learning for data analysis

In short, it aims to have similar functionality as NumPy/SciPy and Pandas.
It will not be an exact clone of the mentioned libraries.

## Why moonalloy

Moonalloy is written with speed and ease of use in mind.
Rust was chosen as the backend language since it is fast (similar to C/C++),
but it has more safety features and a more modern toolchain than C/C++
that works out-of-box. It also has a built-in FFI that is compatible with C/C++.

Lua was chosen as the frontend language since it is a fast,
interpreted scripting language similar to python.
It also supports operator overloading and object-oriented programming,
which makes it pleasant to implement a library with an intuitive syntax.
python-moonalloy-HackTheOxidation 0.0.1
Python bindings for MoonAlloy
Requires Python: >=3.6

# moonalloy

Smelting moonstone and corroded metal to forge a powerful alloy! (Rust + Lua)

## What is moonalloy?

Moonalloy is a library for scientific computing and data analysis.
It contains functionality for manipulating mathematical objects
like Arrays (Vectors) and Matrices.

It also has structures for handling data tables and functions to analyze that data.

## Goals

The aim of the project is to a all-in-one, go-to library for scientific computing
and data analysis. The functionality should include:

* Tools for numeric linear algebra
* Tools for computational science
* Tools for statistics and machine learning for data analysis

In short, it aims to have similar functionality as NumPy/SciPy and Pandas.
It will not be an exact clone of the mentioned libraries.

## Why moonalloy

Moonalloy is written with speed and ease of use in mind.
Rust was chosen as the backend language since it is fast (similar to C/C++),
but it has more safety features and a more modern toolchain than C/C++
that works out-of-box. It also has a built-in FFI that is compatible with C/C++.

Lua was chosen as the frontend language since it is a fast,
interpreted scripting language similar to python.
It also supports operator overloading and object-oriented programming,
which makes it pleasant to implement a library with an intuitive syntax.
starship-landing-gym 0.1.3
A Gym env for rocket landing.
Requires Python: >=3.7.1,<3.10

# Starship Landing Gym [![tests](https://github.com/Armandpl/starship-landing-gym/actions/workflows/tests.yml/badge.svg)](https://github.com/Armandpl/starship-landing-gym/actions/workflows/tests.yml)
A Gym env for propulsive rocket landing. 

<p align="center">
  <img width="400" height="500" src="https://raw.githubusercontent.com/Armandpl/starship-landing-gym/master/images/landing.gif">
  <br/>
  <i> Successfull Rocket Landing </i>
</p>

The goal is to bring the rocket above the landing pad with a speed inferior to 5m/s.  

This is inspired by and based on Thomas Godden's ["Starship Landing Trajectory Optimization" blog post.](http://thomasgodden.com/starship-trajopt.html)

## Installation

`pip install starship-landing-gym`

## Usage

```python
import gym
import starship_landing_gym

env = gym.make("StarshipLanding-v0")

done = False
while not done:
    action = ... # Your agent code here
    obs, reward, done, info = env.step(action)
    env.render()
```