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The Turing Way is a lightly opinionated guide to reproducible data science and research. It is an open source community-driven guide to reproducible, ethical, inclusive and collaborative data science. Our goal is to provide all the information that data scientists in academia, industry, government and in the third sector need at the start of their projects to ensure that they are easy to reproduce and reuse at the end. The Turing Way is participating in JupyterCon 2020 Sprint Event, which is a 24-hour digital event following the conference. Everyone attending the JupyterCon sprint interested in reproducible, ethical, and inclusive data science and research are welcome to join the full or any part of The Turing Way project, community, and/or this sprint. This sprint is built upon our biweekly Collaboration Cafe that aims to engage with researchers interested in learning and sharing more about data science and related topics in The Turing Way online book: https://the-turing-way.netlify.com.
jupytercon sprint
jupytercon sprint
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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