semvec/pypi-packages huggingface dataset:
monke 1.0.13
monke - event-based socket wrapper
Requires Python: >=3.6

# MONKE - is a event-based socket wrapper

> how to install

```sh
pip install monke
```

navigate to examples folder of this repo to know how u can make your own server-client event based communication thing.

you can emit any python datastructures too like classes, dictionaries, etc


## TODOS
- [ ] `1.1.0`
  - [ ] add rooms
aiocleverbot 0.1.1
Async library for cleverbot
Requires Python: >=3.6

![cleverbotfreeapi](https://i.imgur.com/HEskou1.jpg)

# aiocleverbot
An async python wrapper for cleverbot.
Does not require API KEY

![Downloads](https://pepy.tech/badge/aiocleverbot) ![PyPI](https://img.shields.io/pypi/v/aiocleverbot) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/aiocleverbot) ![PyPI - License](https://img.shields.io/pypi/l/aiocleverbot)
## Installation
```pip
pip install aiocleverbot
```
## Usage
```python
from aiocleverbot import cleverbot

# Without context
response=await cleverbot("Hello")
print(response)

# With context
# Please note that context should include messages sent to Cleverbot as well as the responses
response=await cleverbot("Bad", ["hi", "How are you?"])
print(response)
digripy 0.1.1
District Heating Grid Simulation in Python
Requires Python: >=3.6<3.9

# DiGriPy
District Heating Grid Simulation in Python

## Installation
For installation, you can clone this repository and use pip for solving dependencies and installation.
Please use Python3 <3.9, as CoolProp fails to install on Python 3.9.
```
python -m pip install digripy
```

You can alternatively manually clone this repo and then
```
python setup.py install
```
in the cloned directory.

## Running
For Running DiGriPy you can simply download the `tests` folder provided in the [git repository](https://github.com/lvorspel/DiGriPy) and run
```
python -m digripy.run -i tests/example80C -l 20
```

in a command line. This will run the first 20 time steps of the medium temperature scenario and display the results in a browser.

## Output
Results will not only be displayed in the browser, but also will be saved in your home directory in a folder called `digripy_results`. There you can also find spreadsheets with several results.
calculator-ev-115 0.0.1
simple calculator
Requires Python: >=3.7

The calculator package

pip install calculator_ev_115

The calculator has these functions:

    #Addition (.add(to_add))
    #Substraction (.substract(to_sub))
    #Multiplication (.multiply(to_mul))
    #Division (.divide(to_div))
    #n root function (.root(to_root))

This calculator package has memory in itself. 
To erase the current value use calculator.reset() command.
sxm-viewer 0.31
a PyQt5 based tool for inspecting *.sxm files and save them as figures swiftly.
Requires Python: >=3

# sxm-viewer

## About

A PyQt5 based tool for inspecting *.sxm files and save them as figures swiftly.

This tool aims to inspect and save figures fast.
Load a folder, and use up/down to switch the files swiftly. Press key S to save the .png file into the configured folder(in config.ini) directly.
In version 0.3, we support making dataset. press x or z to decide whether a pic is good or not, and change them into npy files easily.
Suppress this help in config.ini.
Have fun! 


## Install
```
pip install sxm_viewer
```

## Usage
```
sxmv
```

## Versions
- version 0.3 on 2021/5/4: add dataset support. You can make simple dataset by this tool.
- version 0.2 on 2021/1/7: add options pane. You can change your colormap, title and axis. You can view other files in folder even if you just open a file.
- version 0.1 on 2020/12/22: view .sxm files and folders. First version. A memorable day.