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  • Getting Started
  • CLI features
  • Concepts
  • Workflow Syntax and Execution Runtime
  • Guides
  • Other Resources
  • FAQ
  • Contributing
Popper
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Popper¶

  • Getting Started
    • Installation
    • Create Your First Workflow
    • Run your workflow
    • Debug your workflow
    • Next Steps
  • CLI features
    • New workflow initialization
    • Executing a workflow
    • Executing a step interactively
    • Parametrizing workflows with substitutions
    • Customizing container engine behavior
    • Continuously validating a workflow
    • Translating workflows for other task runners
    • Visualizing workflows
  • Concepts
    • Resources
    • Glossary
  • Workflow Syntax and Execution Runtime
    • Syntax
    • Execution Runtime
    • Container Engines
    • Resource Managers
    • Life of a Workflow
  • Guides
    • Choosing a location for your step
    • Using shell scripts to define step logic
    • Hello world step example
    • Creating a Docker container
    • Implementing a workflow for an existing set of scripts
    • Building images using BuildKit
    • Computational research with Python and JupyterLab
    • Computational research with R and RStudio Server
  • Other Resources
  • FAQ
    • How can I create a virtual environment to install Popper
    • How can we deal with large datasets? For example I have to work on large data of hundreds GB, how would this be integrated into Popper?
    • How can Popper capture more complex workflows? For example, automatically restarting failed tasks?
    • Can I follow Popper in computational science research, as opposed to computer science?
    • How to apply the Popper protocol for applications that take large quantities of computer time?
  • Contributing

Indices and tables¶

  • Index
  • Module Index
  • Search Page
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