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.
- R, RStudio, R Markdown
- Python and iPython notebooks
- Google Colab
- Building your own Binder environments
- Building your own containers (Docker & Singularity)