Skip to main content

Simple Python script to interact with various python modules used for magnetic resonance spectroscopy.

Project description

NQRduck

Installation

Requirements

  • Python 3.10+
  • pip
  • virtualenv

Setup

  1. Clone the repository
  2. Create a virtual environment and activate it:
    python -m venv venv
    source venv/bin/activate
    

You can install the nqrduck core via PyPi or from the cloned repository. 3. Install the package with pip install .[all] to install all available NQRduck modules inside the cloned repository or just pip install "nqrduck[all]" to install the core package from PyPi. Careful here you might need additional dependencies specified in the respective module repositories. If you only want to install some base modules use pip install .[base] inside the cloned repository or with pip install -U "nqrduck[base]" . You can find the different modules here. 4. Run the program with nqrduck.

Usage

Individual features of the software can be installed as separate Python packages, like spectrometer control, pulse sequence programming or simulation of magnetic resonance experiments. The available functionality of the NQRduck program therefore depends on the installed packages.

The UI is structured as follows:

drawing

The UI is separated into different areas. Section 'a', highlighted in red, represents the menu bar used for general settings of the program and spectrometer selection. Section 'b', outlined in green, allows switching among various modules within the main view of the core, with the active module displayed in bold. Section 'c', depicted in blue, is the active module's view. The currently active module in the figure is the nqrduck-measurement module used for single frequency mangetic resonance experiments. The overall application is part of the NQRduck core and opens when the NQRduck core is started.

License

This project is licensed under the MIT License - see the LICENSE file for details

Contributing: Developing NQRduck modules

A template module is provided here. It is a good starting point for developing new modules.

If you want to contribute to the core, please add an issue or a pull request :).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nqrduck-0.0.9.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

nqrduck-0.0.9-py3-none-any.whl (157.0 kB view details)

Uploaded Python 3

File details

Details for the file nqrduck-0.0.9.tar.gz.

File metadata

  • Download URL: nqrduck-0.0.9.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.9

File hashes

Hashes for nqrduck-0.0.9.tar.gz
Algorithm Hash digest
SHA256 007b2c70d084945d892d0aa7b7659f490dc3ef4f041569c89eb5f5f0a309644c
MD5 caa8ac17837a3a4d40e78875d6581bee
BLAKE2b-256 7682466ce7f56607c2b837af35d7fa5fde02713003f1e3dae700835d86444973

See more details on using hashes here.

File details

Details for the file nqrduck-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: nqrduck-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 157.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.9

File hashes

Hashes for nqrduck-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 c544d49e60f7ec40874e9897346763c774f4e4ea0a017da763b487f947495901
MD5 5226b379697117e26c69a52b1646c654
BLAKE2b-256 c61e7d94b688924bc30b07f2904463eca87fb9106bedfa07c5224474b28dc5d6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page