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Using PyQt with QtAgg in Jupyterlab – IV – simple PyQt and MPL application with background worker and receiver threads

As you read this post you are probably interested in Machine Learning [ML] and hopefully in Linux systems as a ML-platform as well. This post series wants to guide you over a bridge between the standard tool-set of Python3 notebooks in Jupyterlab for the control of ML-algorithms and graphical Qt-applications on your Linux desktop. The objective is to become more… Read More »Using PyQt with QtAgg in Jupyterlab – IV – simple PyQt and MPL application with background worker and receiver threads

Using PyQt with QtAgg in Jupyterlab – II – excursion on threads, signals and events

In the first post of this series on PyQt Using PyQt with QtAgg in Jupyterlab – I – a first simple example we have studied how to set up a PyQt application in a Jupyterlab notebook. The key to getting a seamless integration was to invoke the QtAgg-backend of Matplotlib. Otherwise we did not need to use any of Matplolib’s… Read More »Using PyQt with QtAgg in Jupyterlab – II – excursion on threads, signals and events

Jupyterlab, matplotlib, dynamic plots – II – external Qt-windows and figure updates from foreground jobs

The work on this post series has been delayed a bit. One of my objectives was to use background jobs to directly redraw or to at least trigger a redrawing of Matplotlib figures with backends like Qt5Agg. By using background jobs I wanted to circumvent a blocking of code execution in other further Juypter notebook cells. This would to e.g.… Read More »Jupyterlab, matplotlib, dynamic plots – II – external Qt-windows and figure updates from foreground jobs

Jupyterlab, matplotlib, dynamic plots – I – relevant backends

When we work with Deep Neural Networks on limited HW-resources we must get an overview over CPU- and VRAM-consumption, training progress, change of metrical variables of our network models, etc. Most of us will probably want to see the development of our system- and model-related variables in a graphical way. All of this requires dynamic plots, which are updated periodically… Read More »Jupyterlab, matplotlib, dynamic plots – I – relevant backends