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Programming IBM Watson Pipelines

Programming IBM Watson Pipelines

You can program in a pipeline by using a notebook, or running Bash scripts in a pipeline.

Programming with Bash scripts

Run Bash scripts in a pipeline to compute or process data as part of the flow.

Programming with notebooks

You can use a notebook to run an end-to-end pipeline or to run parts of a pipeline, such as model training.

  • For details on creating notebooks and for links to sample notebooks, see Notebooks.
  • For details on running a notebook as a pipeline job, see Run notebook job.

Using the Python client

Use the Watson Pipelines Python client for working with pipelines in a notebook.

To install the library, use pip to install the latest package of ibm-watson-pipelines in your coding environment. For example, run the following code in your notebook environment or console.

!pip install ibm-watson-pipelines

Use the client documentation for syntax and descriptions for commands that access pipeline components.

Parent topic: Creating a pipeline

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