ScopeFoundry 2 Basic Tutorial

Roughly the content of the ScopeFoundry basic and data_browser tutorial.

http://www.scopefoundry.org

ScopeFoundry is a Python platform for controlling custom laboratory experiments and visualizing scientific data.

Author

Benedikt Ursprung

Credits

• Parts taken from E. Barnards HW_virtual_function_gen and prev. tutorials.

Requirements

* ScopeFoundry

Installation

Download and install the Miniconda Python distribution.

Create an environment with the required dependencies. Anaconda provides a way to make a clean set of packages in an environment. To create an environment called scopefoundry, use the Anaconda(3) Prompt to run:

conda create -n scopefoundry python=3.13

To include ScopeFoundry and all of the packages it needs to run, activate the environment:

conda activate scopefoundry

Download and install ScopeFoundry and its dependencies:

pip install pyqt6 qtconsole matplotlib scopefoundry

⚠️ WARNING: One must use pip here because of pyqt6 being badly packaged (it breakes both conda and poetry). ​

Using Miniconda

With that in mind, if you want the other user to have no knowledge of your default install path, you can remove the prefix line with grep before writing to environment.yml.

conda env export | grep -v "^prefix: " > environment.yml

Either way, the other user then runs:

conda env create -f environment.yml

and the environment will get installed in their default conda environment path.

If you want to specify a different install path than the default for your system (not related to 'prefix' in the environment.yml), just use the -p flag followed by the required path.

conda env create -f environment.yml -p /home/user/anaconda3/envs/env_name

History

0.1.0 2025-01-12 Initial public release.

All components tested

0.1.1 2025-01-12 Adapted for ScopeFoundry 2.1 release.

All components tested