DataLabs
1.
Getting Help
2.
Tutorials
2.1.
My First Notebook
2.1.1.
Sign up to DataLabs
2.1.2.
Log in to DataLabs
2.1.3.
Access a project
2.1.4.
Open your project
2.1.5.
Create project storage
2.1.6.
Create a JupyterLab
2.1.7.
Start a Jupyter notebook
2.1.8.
Collaborative JupyterLab
2.1.9.
Conclusion
2.2.
My first Visual Studio Code notebook
2.2.1.
Create a Visual Studio Code notebook
2.2.2.
Start editing with Visual Studio Code
2.3.
My first RStudio Project
2.3.1.
Create new RStudio Project
2.3.2.
Installing packages
2.3.3.
Example analysis
2.3.4.
Conclusion
2.4.
My first Jupyter Project
2.4.1.
Create new Conda Environment
2.4.2.
Installing packages
2.4.3.
Example analysis
2.4.4.
Conclusion
2.5.
My first Datalabs Dask cluster
2.5.1.
What is a Dask cluster?
2.5.2.
Getting ready
2.5.3.
Create a Dask cluster
2.5.4.
Start Dask client
2.5.5.
Access Dask dashboard
2.5.6.
Perform Dask calculation
2.5.7.
Delete Dask cluster
2.5.8.
Conclusion
2.6.
My first Datalabs Spark cluster
2.6.1.
What is a Spark cluster?
2.6.2.
Getting ready
2.6.3.
Create a Spark cluster
2.6.4.
Start Spark session
2.6.5.
Perform Spark calculation (Python)
2.6.6.
Perform Spark calculation (R)
2.6.7.
Delete Spark cluster
2.6.8.
Conclusion
2.7.
My first Panel site
2.7.1.
Getting ready
2.7.2.
Create a Panel site
2.7.3.
Launch Panel
2.7.4.
Delete a Panel site
2.7.5.
Conclusion
2.8.
My first Voilà site
2.8.1.
Getting ready
2.8.2.
Create a Voilà site
2.8.3.
Launch Voilà
2.8.4.
Delete a Voilà site
2.8.5.
Conclusion
2.9.
My first Streamlit site
2.9.1.
Getting ready
2.9.2.
Create a Streamlit site
2.9.3.
Launch, edit and delete a Streamlit site
2.9.4.
Conclusion
2.10.
My first Shiny site
2.10.1.
Getting ready
2.10.2.
Create a Shiny site
2.10.3.
Launch a Shiny site
2.10.4.
Delete a Shiny site
2.10.5.
Conclusion
2.11.
Packrat Quick-Start Guide
2.12.
Conda Environments Quick-Start-Guide
2.13.
Minio Browser
3.
Admin Tutorials
3.1.
Logging in for the first time
3.1.1.
Setting up a project
3.1.2.
Using the Admin page
3.1.3.
Conclusion
4.
How to...
4.1.
Use the Asset Repo
4.1.1.
Attach assets to sites
4.2.
Suspend and Restart Resources
4.3.
Collaborate on an RStudio notebook
4.4.
Managing packages within R
4.4.1.
Packrat on Spark
4.4.2.
Packrat within RStudio
4.5.
Managing packages within Conda
4.5.1.
Conda Package Management
4.6.
Using Object Storage within DataLabs
4.6.1.
Python
4.6.2.
Terminal
4.6.3.
Desktop Client
4.7.
Using Dask within JupyterLab
4.7.1.
Creating a Cluster
4.7.2.
Common Issues
4.8.
Using Spark within DataLabs
4.8.1.
Spark Basic Use
4.8.2.
Spark with PySpark and Project Datastore
4.8.3.
Spark with PySpark and Object Store
4.8.4.
Spark with SparkR and Project Datastore
4.8.5.
Spark with SparkR and Object Store
4.9.
Uploading Files
4.9.1.
Minio Client
Light (default)
Rust
Coal
Navy
Ayu
DataLabs Documentation
Data Labs
Documentation for the NERC CEH Data Labs project.
version: 0.35.7