This repository contains a range of helper classes and functions to simplify scientific data acquisition and visualization using Python. I used these classes during my PhD thesis for acquiring and analyzing data in a high-frequency, low-temperature experiment involving superconducting qubits.

##Overview

The repository is organized in the following way:

• config contains configration scripts and settings.
• doc contains the (still incomplete) documentation of the project.
• gui contains all GUI classes, most notably the code IDE and graphical data manager classes.
• helpers contains various helper classes, e.g. for remote code execution as well as data & instrument management.
• lib contains various library classes, most notably the Datacube class which acts as a universal data container.
• scripts contains various setup and example scripts.
• server contains server scripts that implement a fully transparent remote control scheme for measurement instruments over the network using Python.
• test contains various test scripts.

##Terms of Usage

The code, unless otherwise indicated in the source file, can be freely reused. Feel free to include a reference to this code if you reuse it in your own project.

##Further information

This code is currently unmaintained. For further information on this code and my PhD work, check out my personal website (http://www.andreas-dewes.de/en/publications).