semvec/pypi-packages huggingface dataset:
pycat3 0.6
Python Beckhoff communication over ads
License: MIT
Keywords: python,beackhoff,ads


## An Example of How To Use the Package
from pycat3 import PyCat3, EdgeTrigger

pc3 = PyCat3()
# OR
pc3 = PyCat3(ip='127.0.0.1.1.1', port=851)

# write a tag
pc3.write_tag('MAIN.nAlive', 9)

# read a tag
print(pc3.read_tag('MAIN.nAlive')

# Tags change notification subscription
# Make lists of the tags to be monitored (Types: Integer, REAL, BOOL)
tags_int = ['MAIN.Int1', 'MAIN.Int2']
tags_real = ['MAIN.Real1']
tags_bool = ['MAIN.Bool1']

# call monitor method from ads instance
pc3.monitor(monitored_int=tags_int, monitored_real=tags_real, monitored_bool=tags_bool)

# Access 'data' dictionary to read a certain tag
print(pc3.data['MAIN.Int1']) 

# Use of Edge Detector

# Create your callback function

def my_callback(oldVal, newVal):
    print(f"Value changed from {oldVal} to {newVal}.") 

# Create EdgeTrigger object wit callback function as argument
detector = EdgeTrigger(my_callback)

# Call the detector with the monitored PLC tag
detector1(pc3.data['MAIN.Int1'])
basstatpl 0.0.1
Library dedicated to performing different tabulations and basic statistical calculations.
License: MIT
Requires Python: >=3.6
Keywords: table statistical descriptive

![logo](/branding/logo/logo.svg)
# BasstatPL
BasstatPL is a package for performing different tabulations and calculations for descriptive statistics.
It provides:
- Frequency table constructors for simple and grouped data
- Centralization measures
- Position measurements
- Measures of dispersion

### Requirements 📋
The required packages are pandas, numpy, and matplotlib.
```
python -m pip install pandas
python -m pip install numpy
python -m pip install matplotlib
```
_Some packages like numpy get installed when you install pandas_

### Supported Python Versions
Python >= 3.6

### Installation 🔧

Using pip you can install the necessary packages, if you don't have them installed, then basstatPL will be installed
```
python -m pip install basstatpl
```
## License
MIT
pytorch-swem 0.3.5
Pytorch implementation of the simple word embedding model.
License: MIT
Requires Python: >=3.8

# Simple word embedding models

[![PyPI - Version](https://img.shields.io/pypi/v/pytorch-swem)](https://pypi.org/project/pytorch-swem/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/schoennenbeck/swem/main?labpath=docs%2Fsource%2Fusage%2FDemo.ipynb)
[![PyPI - License](https://img.shields.io/pypi/l/pytorch-swem)](https://github.com/schoennenbeck/swem/blob/main/LICENSE)
[![Coverage Status](https://coveralls.io/repos/github/schoennenbeck/swem/badge.svg)](https://coveralls.io/github/schoennenbeck/swem)
[![Docs](https://readthedocs.org/projects/pytorch-swem/badge/?version=latest)](https://pytorch-swem.readthedocs.io/)

A pytorch implementation of the Simple Word Embedding Model from the paper [Baselines need more love](https://arxiv.org/abs/1808.09843) and some additional models and utilities.

## Installation

### From pypi

To install this package from pypi simply run

```
pip install pytorch-swem
```

### From source

To install from source clone this repository and install via pip:

```
git clone https://github.com/schoennenbeck/swem.git
cd swem
pip install .
```

## Usage

For an example of how to use this package please see the [demo-notebook](https://github.com/schoennenbeck/swem/blob/main/docs/source/usage/Demo.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/schoennenbeck/swem/main?labpath=docs%2Fsource%2Fusage%2FDemo.ipynb).

## Docs

The [documentation](https://pytorch-swem.readthedocs.io/) is hosted on readthedocs.
DiscordDatabse 0.1.1
CRUD database for discord bots, using discord text channels to store data
License: MIT

# Discord Database

A CRUD (Create Read Update Delete) database for python Discord bot developers. All data is stored in key-value pairs directly on discord in the form of text messages, in the text channel that you specify.

## Installation

```bash
pip3 install DiscordDatabase
```

## Getting Started

TBA