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Python client for naneos particle solutions gmbh devices.

Project description

naneos-devices (python toolkit)

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This repository contains a collection of Python scripts and utilities for our naneos measurement devices. These scripts will provide various functionalities related to data acquisition, analysis, and visualization for your measurement devices.

Installation

You can install the naneos-devices package using pip. Make sure you have Python 3.9 or higher installed. Open a terminal and run the following command:

pip install naneos-devices

Usage

To establish a serial connection with the Partector2 device and retrieve data, you can use the following code snippet as a starting point:

import time
from naneos.partector2 import Partector2, scan_for_serial_partector2

# Lists all available Partector2 devices
x = scan_for_serial_partector2()

# Connect to the first device
myP2 = Partector2(list(x.values())[0], 1)
time.sleep(2)

# Get the data as a pandas DataFrame
data = myP2.get_data_pandas()
print(data)

myP2.close()

Make sure to modify the code according to your specific requirements. Refer to the documentation and comments within the code for detailed explanations and usage instructions.

Documentation

The documentation for the naneos-devices package can be found in the package's documentation page.

Important commands when working locall with tox

tox -e clean #cleans the dist and docs/_build folder
tox -e build #builds the package based on the last tag
pipenv install -e . #installs the locally builded package

tox -e docs #generates the documentation

tox -e publish  # to test your project uploads correctly in test.pypi.org
tox -e publish -- --repository pypi  # to release your package to PyPI

tox -av  # to list all the tasks available

Ideas for future development

  • P2 BLE implementation that integrates into the implementation of the serial P2
  • P2 Bidirectional Implementation that allows to send commands to the P2
  • Automatically activate Bluetooth or ask when BLE is used

Contributing

Contributions are welcome! If you encounter any issues or have suggestions for improvements, please submit an issue on the issue tracker. If you'd like to contribute code, please follow the guidelines mentioned in the CONTRIBUTING file.

Please make sure to adhere to the coding style and conventions used in the repository and provide appropriate tests and documentation for your changes.

License

This repository is licensed under the MIT License.

Acknowledgments

If you would like to acknowledge any individuals, organizations, or resources that have been helpful to your project, you can include them in this section.

Contact

For any questions, suggestions, or collaborations, please feel free to contact the project maintainer:

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