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@ -21,7 +21,7 @@ them with the requirements of your visualizations.
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Python based visualizations are a new method to visualize results within the
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Kubeflow Pipelines UI. This new method of visualizing results is done through
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the usage of [nbcovert](https://github.com/jupyter/nbconvert). Alongside the
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the usage of [nbconvert](https://github.com/jupyter/nbconvert). Alongside the
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usage of nbconvert, results of a pipeline can now be visualized without a
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component being included within the pipeline itself because the process of
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visualizing results is now decoupled from a pipeline.
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