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Shaping the stories that rule our economy

By Tim O’Reilly | September 20, 2018

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The power of Ethereum

By Joseph Lubin | September 12, 2018

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Sea change: What happens when Jupyter becomes pervasive at a university?

By Fernando Pérez | August 27, 2018

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Democratizing data

By Tracy Teal | August 27, 2018

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The future of data-driven discovery in the cloud

By Ryan Abernathey | August 27, 2018

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Jupyter notebooks and the intersection of data science and data engineering

By David Schaaf | August 27, 2018

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Data science as a catalyst for scientific discovery

By Michelle Gill | August 27, 2018

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Highlights from JupyterCon in New York 2018

By Mac Slocum | August 24, 2018

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All the cool kids are doing it, maybe we should too? Jupyter, gravitational waves, and the LIGO and Virgo Scientific Collaborations

By Will Farr | August 24, 2018

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Jupyter trends in 2018

By Paco Nathan | August 24, 2018

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Sustaining wonder: Jupyter and the knowledge commons

By Carol Willing | August 24, 2018

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The reporter’s notebook

By Mark Hansen | August 24, 2018

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Why contribute to open source?

By Julia Meinwald | August 24, 2018

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A quick reminder on HTTPS everywhere

By Mike Loukides | August 14, 2018

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Why we need to think differently about AI

By Mike Loukides | August 8, 2018

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Data’s day of reckoning

By DJ Patil, Hilary Mason, Mike Loukides | July 31, 2018