Programming Leftovers
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Plotting with PyQtGraph
One of the major strengths of Python is in exploratory data science and visualization, using tools such as Pandas, numpy, sklearn for data analysis and matplotlib plotting. Buiding GUI applications with PyQt gives you access to all these Python tools directly from within your app, allowing you to build complex data-driven apps and interactive dashboards.
While it is possible to embed matplotlib plots in PyQt the experience does not feel entirely native. For simple and highly interactive plots you may want to consider using PyQtGraph instead. PyQtGraph is built on top of PyQ5 native QGraphicsScene giving better drawing performance, particularly for live data, as well as providing interactivity and the ability to easily customize plots with Qt graphics widgets.
In this tutorial we'll walk through the first steps of creating a plot widget with PyQtGraph and then demonstrate plot customization using line colours, line type, axis labels, background colour and plotting multiple lines.
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Python 3.5.8rc2
Python 3.5 has now entered "security fixes only" mode, and as such the only changes since Python 3.5.4 are security fixes. Also, Python 3.5.8rc2 has only been released in source code form; no more official binary installers will be produced.
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Developers in 2020 need open source and want the ability to work remotely
But at the same time I think participation in open source products, projects, is also a key aspect that people can bring to the table in terms of additional credibility and also just being able to showcase what they're able to do in terms of collaborations.
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Dirk Eddelbuettel: GitHub Streak: Round Six
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