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Reproducible Self-Publishing for Python-Based Research | EuroSciPy 2018 | Trento (IT)
Tania Sanchez Monroy - Down the rabbit hole. A 101 on reproducible workflows with Python
Andreas Schreiber - Messaging for the Internet of Things
Andreas Schreiber dunks for Scorchers
XLDB-2018: Reproducible Data Science at Scale
Mridul Seth - nbreproduce: Jupyter notebooks in reproducible environments| PyData Global 2020
Reproducible Data Analysis in Jupyter, Part 5/10: Creating a Python Package
Provenance and Reproducibility: a look into Jupyter Notebooks (Dr. Sheeba Samuel, FSU Jena)
Reproducible Data Science with Docker Containers - Ben Hamner
Data Provenance and Reproducibility with Pachyderm
Reproducibility, Jupyter notebooks and associated research software engineering - Hans Fangohr
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Last Updated: October 26, 2026
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PyData Seattle 2015 Space Debris are defunct objects in space, including old space vehicles (such as satellites or rocket stages) ... Speaker: Tania Sanchez Monroy There has been a massive interest in Subtitle: Exploring Allen Institute's 200TB Open Microscopy Image Dataset in Talk Creating a Jupyter notebook with a coherent story and code blocks is the initial fun part but distributing it, making sure ... Jupyter notebooks provide a useful environment for interactive exploration of data. A common question I get, though, is how you ... Aufzeichnung eines Gastvortrags zu den FDM-Tagen 2021. Mehr Informationen finden Sie hier: ... Container Camp SF 2016 - container.camp Ben Hamner - CTO of Kaggle One of the biggest pain points in data Versioning isn't just for source code. Being able to track changes to data is critical for answering questions about data provenance ...
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