For Immediate Release

AUSTIN, Texas, April 8, 2019—NumFOCUS is pleased to announce that Cambridge Spark has volunteered to organize a PyData event in late 2019 in Cambridge, UK.

“We look forward to partnering with Cambridge Spark on this exciting event. We’re grateful for their ongoing support of the PyData and NumFOCUS ecosystem and appreciate this initiative to bring further education and knowledge sharing to the Cambridge community,” said Leah Silen, Executive Director of NumFOCUS.

While this isn’t the first UK PyData event, Cambridge Spark will be bringing the event to Cambridge for the first time. “I’m delighted to announce Cambridge Spark’s continued support to the NumFOCUS and PyData community. We look forward to launching PyData Cambridge and share our appreciation for this thriving city that has become the UK hub for tech innovation and AI,” said Dr. Raoul-Gabriel Urma, CEO, Cambridge Spark.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. The mission of NumFOCUS is to promote open practices in research, data, and scientific computing by serving as a fiscal sponsor for open source projects and organizing community-driven educational programs.

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 aims to present accessible, community-driven conferences, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

Cambridge Spark is a leader in personalised Data Science training. They offer intensive bootcamps, graduate schemes, apprenticeships and team training solutions which are delivered by industry and academic experts, complemented by their proprietary AI-powered data science talent attraction, assessment and development platform, K.A.T.E.®.

More information will be forthcoming and available at