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Scaling Notebooks as Re-configurable Cloud Workflows
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Scaling Notebooks as Re-configurable Cloud Workflows (2022)Scaling Notebooks as Re-configurable Clou…Integrating Jupyter into Research Computing Ecosystems (2020)Integrating Jupyter into Rese…Accelerating Experimental Science Using Jupyter and NERSC HPC (2020)Accelerating Experimental Sci…Why Jupyter is data scientists’ computational notebook of choice (2018)Why Jupyter is data scientist…CyberGIS‐Jupyter for reproducible and scalable geospatial analytics (2018)CyberGIS‐Jupyter for reproduc…Ten Simple Rules for Reproducible Computational Research (2013)An introduction to Docker for reproducible research (2015)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)A Framework for Moving Beyond Computational Reproducibility: Lessons from Three Reproductions of Geographical Analyses of COVID‐19 (2023)Comparing containerization-based approaches for reproducible computational modeling of environmental systems (2023)Elevating the RRE Framework for Geospatial Analysis with Visual Programming Platforms: An Exploration with Geospatial Analytics Extension for KNIME (2024)Binder 2.0 - Reproducible, interactive, sharable environments for science at scale (2018)Interactive Parallel Workflows for Synchrotron Tomography (2020)Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences (2022)DesignSafe: New Cyberinfrastructure for Natural Hazards Engineering (2017)A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)Materials Cloud, a platform for open computational science (2020)Appyters: Turning Jupyter Notebooks into data-driven web apps (2021)The five pillars of computational reproducibility: bioinformatics and beyond (2023)
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References

  • 2018Why Jupyter is data scientists’ computational notebook of choice354 cited
  • 2018CyberGIS‐Jupyter for reproducible and scalable geospatial analytics52 cited
  • 2020Accelerating Experimental Science Using Jupyter and NERSC HPC10 cited
  • 2020Integrating Jupyter into Research Computing Ecosystems10 cited

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