Tom Mock - Reproducible Publications with Python and Quarto | PyData Global 2022

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PyData

PyData

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www.pydata.org
Quarto is an open-source scientific and technical publishing system that builds on standard markdown with features essential for scientific communication. The system has support for reproducible embedded computations, equations, citations, crossrefs, figure panels, callouts, advanced layout, and more. In this talk we'll explore the use of Quarto with Python, describing both integration with IPython/Jupyter and the Quarto VS Code extension.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
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