semvec/pypi-packages huggingface dataset:
mosamaticdesktop 2.0.4
Desktop application for analyzing body composition in CT images (Windows version)
License: MIT
Requires Python: <3.12,>=3.9

# MosamaticDesktop
PySide6 desktop app for running processing tasks on CT images


## Installation
On Windows: 
- pip install mosamaticdesktop

On MacOS: 
- pip install mosamaticdesktop-macos
senseair-s8 0.1.0
Python library for interfacing with a Senseair S8 CO2 sensor.
License: MIT
Requires Python: >=3.6
Keywords: senseair, co2, sensor, python

# Senseair S8 for Python

Python module for reading CO2 concentration from a Senseair S8 sensor connected to a Raspberry Pi

## Connecting the Senseair S8 to your Raspberry Pi

Hook up the Senseair S8 to your Raspberry Pi using the following schematic:

![Connection schematic](connection_schematic.PNG "Connection schematic")

Image source: http://co2meters.com/Documentation/AppNotes/AN168-S8-raspberry-pi-uart.pdf

## Module installation

```bash
pip install senseair-s8
```

## Usage

As a module:

```python
from senseair_s8 import SenseairS8

senseair_s8 = SenseairS8()
print(senseair_s8.co2())
```

From the command line:

```bash
python -m senseair_s8
```

## Troubleshooting

- This module expects the sensor to be connected to port `/dev/ttyS0`. It was only tested using that port, but you can override this settings when initialising the sensor:

```python
sensair_s8 = SenseairS8(port='/dev/ttyS0')
```

- Out of the box, `/dev/ttyS0` is disabled on a Raspberry Pi, resulting in a `permission denied`-error. You can enable it by:
    1. Run `sudo raspi-config`
    2. Select Interfacting options
    3. Select P6 Serial
    4. Select No for login console
    5. Select Yes for serial port hardware
    6. OK, Finish, Reboot - Yes