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media/LinkedIn/2023_10_31-V2.md

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# Announcement: Release of PlotPy V2 📊
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PlotPy V2 distinguishes itself in the realm of plotting libraries. Designed for Python/Qt applications, this library offers a blend of superior performance and enhanced interactive features. Its image display features, driven by a C++ transform engine, include real-time high-quality interpolation, LUT, and geometric transformations, elevating data interaction.
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PlotPy is part of the PlotPyStack project (<https://github.com/PlotPyStack>), dedicated to delivering a comprehensive toolkit for crafting scientific and technical data visualization applications.
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The development efforts for PlotPy V2 were financed by the CEA (<https://www.cea.fr/>).
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What's New in PlotPy V2 🌟:
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🔍 Major Updates:
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Refined and unified API for curve and image plotting features (widget, dialog, window). Introduction of a new window for synchronized multi-plot displays 🔄.
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🎨 Enhancements:
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Expanded Image Lookup Table functionalities.
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Integration of SVG-based shapes.
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📖 Documentation:
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Comprehensive Sphinx-based documentation enriched with API links, examples, and tutorials.
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⚙️ Development Features:
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Black code formatting, robust `pytest`-based automated test suite, and a 70% test coverage milestone ✅.
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We invite the community to explore PlotPy V2's capabilities.
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Explore PlotPy V2 on PyPI: <https://pypi.org/project/PlotPy/>.
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View the project on GitHub: <https://github.com/PlotPyStack/plotpy/>.
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Review the documentation: <https://plotpy.readthedocs.io/en/latest/>.

media/X/2023_10_31-V2.txt

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PlotPy V2 is now live! 🎉Introducing an optimized 2D curve/image plotting library📊.
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It's the successor to guiqwt. <https://pypi.org/project/PlotPy/>
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PlotPy is part of PlotPyStack, representing 15 years of expertise
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in Python-Qt scientific software development.
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#Python #Plotting

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