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Tools for Reproducible Science

This lesson continues with the second workshop on reproducible science, focusing on additional open source tools for researchers and data scientists, such as the R programming language for data science, as well as associated tools like RStudio and R Markdown. Additionally, users are introduced to Python and iPython notebooks, Google Colab, and are given hands-on tutorials on how to create a Binder environment, as well as various containers in Docker and Singularity.

Topics covered in this lesson
  • R, RStudio, R Markdown
  • Python and iPython notebooks 
  • Google Colab
  • Building your own Binder environments
  • Building your own containers (Docker & Singularity)
Slides (5.1 MB)