semvec/pypi-packages huggingface dataset:
gym-delta-robot-trampoline 0.1.7
An OpenAI Gym Env for Delta Robot
Requires Python: >=3.6

# Gym Delta Robot Trampoline

Authors: Rico Ruotong Jia(ruotongjia2020@u.northwestern.edu), Yipeng Pan 

The trampoline bounces a ball using a delta arm trained by DDPG! We also have included a PyBullet + OpenAI Gym environment of a Delta_Arm.  

![](media/model_1.png)

### Minimum System Requirement
- Python 3.6

### Links 
 - Github [https://github.com/RicoJia/gym-delta-robot-trampoline](https://github.com/RicoJia/gym-delta-robot-trampoline)
 - Pypi [https://pypi.org/project/gym-delta-robot-trampoline/](https://pypi.org/project/gym-delta-robot-trampoline/)

### Install
Install with `pip`:

    pip3 install gym_delta_robot_trampoline
    
Or, install from source:

    git clone https://github.com/RicoJia/gym-delta-robot-trampoline
    cd gym-delta-robot-trampoline
    pip install .

### Usage

To see the environment, in the root of the package on Github [https://github.com/RicoJia/gym-delta-robot-trampoline](https://github.com/RicoJia/gym-delta-robot-trampoline)
Download ```main.py```

     python3 main.py
You can interact with the environment by clicking and dragging, but note that our simulation is running much 
faster than real time, so you might not see the ball falling to the ground before the episode ends, or 
you might see a higher reward than expected due to small vibrations in our mouse dragging motion.
nscrapy 0.0.3
A small example package for scrapping argentinian newsletters
Requires Python: >=3.7

# NSCRAPY: Scraper de principales portales de noticias argentinos.</h1>



Libreria para bajar notas de clarin , pagina12, cronica y cronista.

Instalacion:

```python
pip install nscrapy
``` 

Clases para scrapear una url de una nota.

```python
clarin()
p12()
cronica()
cronista()
``` 

Ejemplo de uso, scrapear el portal de clarin de hoy (para pagina 12 cambiar clarin por p12) con comentarios:

```python
from nscrapy import nscrap as ns
from nscrapy.clarin import get

notasclarin=ns.clarin()

#scrapeo el portal
notasclarin.hoy()

#las urls a las notas de hoy estan en .urls

notashoy=get(notasclarin.urls)

```
notashoy es una lista de objetos nota:

```python
nota.titulo : titulo de la nota
nota.comm : comentarios
nota.com : ' '.join(comentarios)
nota.volanta : volanta de la nota
nota.bajada : resumen o subtitulo
nota.cuerpo : cuerpo nota
nota.bolds : textos en negrita
nota.bold : ' '.join(bolds)
```