qcodes++ documentation
qcodes++ (aka qcodespp, qcpp, qc++) is a python package to run scientific experiments. qcodes++ is built on top of QCoDeS, both extending capabilities and preserving older features. QCoDeS contains a huge range of drivers for communicating with instruments, and a flexible - but complex - database-based method for collecting data and running experiments.
The qcodes++ package provides a user-friendly frontend to the solid backend of QCoDeS. If you have always wanted to run your measurements using python but found QCoDeS too daunting, qcodes++ is the package for you. qcodes++ features:
Simple yet powerful methods for running experiments and collecting data
True live plotting featuring sub-second, point-by-point updates without performance impact
A feature-rich offline plotting/analysis tool for publication-quality figures, including curve fitting, making linecuts of 2D data, smoothing, taking derivatives and more
Text-based data storage for easy access and long-term stability
Improvements to core QCoDeS functionalities (e.g. Station, Parameters) to streamline data acquisition, protect (meta)data integrity and minimise user error
Improved drivers for certain instruments
and other user-friendliness improvements
qcodes++ is installed alongside/around QCoDeS, meaning all features of both packages can be used seamlessly within the same notebook/environment.
The source code is available on GitHub, and the following documentation will guide you on how to quickly and easily start running measurements. Issue reporting, feedback and contributions are more than welcome through the GitHub repository.
The name: In addition to being a really stupid pun on q(c++), it reflects the fact that really we just want to add some nice features to the main package, and also it makes me happy because in our lab we have, totally coincidentally, always named our plotting windows pp, e.g. pp = qc.live_plot().