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The Open Data Science Platform

Presented by Andy Terrel at Numfocus NumFOCUS currently represents 26 sponsored and 24 affiliated open scientific coding projects. Glancing at them from a distance, one might have to squint a bit to see a pattern emerge. In truth, the community doesn't mind that at all, out of the variety comes...

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Detalles Bibliográficos
Autor principal: Salon, Data (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico Video
Idioma:Inglés
Publicado: Data Science Salon, 2019.
Edición:1st edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Presented by Andy Terrel at Numfocus NumFOCUS currently represents 26 sponsored and 24 affiliated open scientific coding projects. Glancing at them from a distance, one might have to squint a bit to see a pattern emerge. In truth, the community doesn't mind that at all, out of the variety comes innovation. Beyond the logos and stickers, what is this community actually doing? I present the various projects and argue that we have inadvertently created one of the most successful data science platforms in existence. From this vantage point, I pose some tough questions the community needs to answer: How can we present that platform more fully? How should we organize ourselves to make our work more valuable? How do we avoid a collapse of our communities?
Descripción Física:1 online resource (1 video file, approximately 25 min.)