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Reproducible Science with Python

Schreiber, Andreas (2016) Reproducible Science with Python. PyCon DE 2016, 29.-30. Okt. 2016, München, Deutschland. (Unpublished)

[img] PDF (Vortrag)

Official URL: http://www.pymunich.com/talks/29-10-2016/reproducible-science-with-python


In science, results that are not reproducible by peer scientists are valueless and of no significance. Good practices for reproducible science are to publish used codes under Open Source licenses, perform code reviews, save the computational environments with containers (e.g., Docker), use open data formats, use a data management system, and record the provenance of all actions. This talk shows how to record the provenance of code development, code execution, and data management using a standard format for provenance and accompanying Python libraries. In particular, how to gather the provenance of an development process based on Git, how to gather provenance of any Python script and of any IPython/Jupyter notebook, and how to gather provenance of a paper written in LaTeX. Finally, the talk shows how use Python to analyze and explore the provenance, which is stored in a graph database (Neo4J).

Item URL in elib:https://elib.dlr.de/110542/
Document Type:Conference or Workshop Item (Speech)
Title:Reproducible Science with Python
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schreiber, AndreasAndreas.Schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649
Date:29 October 2016
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Data science, provenance, reproducibility, reproducible science, graph databases, neo4j, python
Event Title:PyCon DE 2016
Event Location:München, Deutschland
Event Type:international Conference
Event Dates:29.-30. Okt. 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > Distributed Systems and Component Software
Institut of Simulation and Software Technology
Deposited By: Schreiber, Andreas
Deposited On:11 Jan 2017 14:19
Last Modified:31 Jul 2019 20:07

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