PyData
Website: www.pydata.org
LinkedIn: / pydata-global
Twitter: / pydata
Test-driven data analysis is a methodology and open-source Python library for improving quality in data processes. It covers three main areas:
• Testing data (generating constraints and using them to validate new data)
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.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
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