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Fix links (#1141)
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@ -54,6 +54,6 @@ There are several requirements for the component function:
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## Tutorials
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See the notebook on
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[lightweight Python component basics](https://github.com/kubeflow/pipelines/blob/master/samples/core/lightweight_component/Lightweight%20Python%20components%20-%20basics.ipynb)
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[lightweight Python component basics](https://github.com/kubeflow/pipelines/blob/master/samples/core/lightweight_component/lightweight_component.ipynb)
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for an example of creating lightweight Python components and using them in a
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pipeline.
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@ -456,7 +456,7 @@ For more detailed instructions, see the guide to [building lightweight
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components](/docs/pipelines/sdk/lightweight-python-components/).
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For an example, see the [Lightweight Python components -
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basics](https://github.com/kubeflow/pipelines/blob/master/samples/core/lightweight_component/Lightweight%20Python%20components%20-%20basics.ipynb)
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basics](https://github.com/kubeflow/pipelines/blob/master/samples/core/lightweight_component/lightweight_component.ipynb)
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notebook on GitHub.
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{{% /alert %}}
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@ -153,4 +153,4 @@ type checking would still fail if some I/Os lack the type information and some I
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## Next steps
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* See [type checking sample](https://github.com/kubeflow/pipelines/blob/master/samples/core/dsl_static_type_checking/DSL%20Static%20Type%20Checking.ipynb).
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* See [type checking sample](https://github.com/kubeflow/pipelines/blob/master/samples/core/dsl_static_type_checking/dsl_static_type_checking.ipynb).
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@ -116,7 +116,7 @@ The following notebooks are available:
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demonstrates how to build a component based on Python 3 inside the notebook,
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including how to build a Docker container.
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* [Lightweight Python components](https://github.com/kubeflow/pipelines/blob/master/samples/core/lightweight_component/Lightweight%20Python%20components%20-%20basics.ipynb):
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* [Lightweight Python components](https://github.com/kubeflow/pipelines/blob/master/samples/core/lightweight_component/lightweight_component.ipynb):
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This notebook demonstrates how to build simple Python components based on
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Python 3 and use them in a pipeline with fast iterations. If you use this
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technique, you don't need to build a Docker container when you build a
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