The course is aimed at graduate students, postdocs, and other researchers who perform computational analysis or work. The material uses basic Python for teaching and illustrating the key concepts. Advanced knowledge of Python is not needed, but some familiarity with Python will aid in absorbing the material.
Based on https://reproducible-science-curriculum.github.io/workshop-RR-Jupyter/
Title: Reproducible Research Using Jupyter Notebooks
URL to Resource: https://training.ni4os.eu/course/view.php?id=78
Resource URL Type: URL
Description: The course is aimed at graduate students, postdocs, and other researchers who perform computational analysis or work. The material uses basic Python for teaching and illustrating the key concepts. Advanced knowledge of Python is not needed, but some familiarity with Python will aid in absorbing the material. Based on https://reproducible-science-curriculum.github.io/workshop-RR-Jupyter/
Keywords: open reproducible research, self-paced, jupyter notebooks
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Thursday, 30 September 2021, 11:10 AM
Learning Resource Type: Other, Other
Learning Outcome(s): The course is aimed at graduate students, postdocs, and other researchers who perform computational analysis or work. The material uses basic Python for teaching and illustrating the key concepts. Advanced knowledge of Python is not needed, but some familiarity with Python will aid in absorbing the material. Based on https://reproducible-science-curriculum.github.io/workshop-RR-Jupyter/
Expertise Level: All
Format: url
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic