Urban Street Network Analysis in a Computational Notebook [PDF]
REGION, 2020 Computational notebooks offer researchers, practitioners, students, and educators the ability to interactively run code and disseminate reproducible workflows that weave together code, visuals, and narratives.
Geoff Boeing
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Reduced inclination of cervical spine in a novel notebook screen system - implications for rehabilitation [PDF]
Journal of Occupational Medicine and Toxicology, 2011 Background Professional working at computer notebooks is associated with high requirements on the body posture in the seated position. By the high continuous static muscle stress resulting from this position at notebooks, professionals frequently working
Quarcoo David +8 more
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Martin Heidegger’s Anti-Semitism: Philosophy of Technology and the Media in the Light of the "Black Notebooks". Implications for the Reception of Heidegger in Media and Communication Studies [PDF]
tripleC: Communication, Capitalism & Critique, 2015 “Heidegger is the petty bourgeois of German philosophy, the man who has placed on German philosophy his kitschy night-cap […] When I see that even super-intelligent people have been taken in by Heidegger, […] I feel sickened to this day.
Christian Fuchs
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Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education
Remote Sensing, 2022 There is a growing demand to train Earth Observation (EO) data users in how to access and use existing and upcoming data. A promising tool for data-related training is computational notebooks, which are interactive web applications that combine text ...
Julia Wagemann +5 more
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On the Design of AI-powered Code Assistants for Notebooks [PDF]
International Conference on Human Factors in Computing Systems, 2023 AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component of contemporary coding contexts. Among these environments, computational notebooks, such as Jupyter, are of particular interest as they provide rich interface ...
A. Mcnutt +3 more
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InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational Notebooks [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2023 Computational notebooks have become increasingly popular for exploratory data analysis due to their ability to support data exploration and explanation within a single document. Effective documentation for explaining chart findings during the exploration
Yanna Lin +4 more
semanticscholar +1 more source
Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks [PDF]
International Conference on Human Factors in Computing Systems, 2023 Computational notebooks are widely used for data analysis. Their interleaved displays of code and execution results (e.g., visualizations) are welcomed since they enable iterative analysis and preserve the exploration process.
Haotian Li +5 more
semanticscholar +1 more source
Natural Language to Code Generation in Interactive Data Science Notebooks [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Computational notebooks, such as Jupyter notebooks, are interactive computing environments that are ubiquitous among data scientists to perform data wrangling and analytic tasks.
Pengcheng Yin +11 more
semanticscholar +1 more source
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks [PDF]
CHI Extended Abstracts, 2023 Computational notebooks, such as Jupyter Notebook, have become data scientists’ de facto programming environments. Many visualization researchers and practitioners have developed interactive visualization tools that support notebooks, yet little is known
Zijie J. Wang +3 more
semanticscholar +1 more source
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work [PDF]
International Conference on Human Factors in Computing Systems, 2022 Creating presentation slides is a critical but time-consuming task for data scientists. While researchers have proposed many AI techniques to lift data scientists’ burden on data preparation and model selection, few have targeted the presentation ...
Chengbo Zheng +3 more
semanticscholar +1 more source