Jupyter Notebooks
Jupyter notebooks is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. Terra supports notebooks with R and Python kernels.
- Interactive analysis with Jupyter Notebooks
- Starting and customizing your Jupyter app
- Terra's Jupyter Notebooks environment Part I: Key components
- Terra's Jupyter Notebooks environment Part II: Key operations
- Terra's Jupyter Notebooks environment Part III: Best Practices
- Keep from overwriting shared notebooks with "Playground" mode
- Analyzing data from a workspace bucket in a notebook
- How (and why) to save data generated in a notebook to workspace storage
- Copying notebook output to a Google bucket
- What packages are installed on preconfigured Cloud Environments?
- Selecting prior Cloud Environment versions
- Using the Bioconductor Docker image in Terra
- How to install packages using Conda on Jupyter notebook
- Preconfigure a Cloud Environment with a startup script
- Data file directories in edit and playground modes
- Protecting data from a Cloud Environment created prior to August, 2020