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Reformat pipeline docs (#239)

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pollfly
2022-04-26 13:42:55 +03:00
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docs/getting_started/ds/best_practices.md
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@@ -48,7 +48,7 @@ that we need.
- [ClearML Agent](../../clearml_agent.md) does the heavy lifting. It reproduces the execution environment, clones your code,
applies code patches, manages parameters (Including overriding them on the fly), executes the code and queues multiple tasks
It can even [build](../../clearml_agent.md#exporting-a-task-into-a-standalone-docker-container) the docker container for you!
- [ClearML Pipelines](../../fundamentals/pipelines.md) ensure that steps run in the same order,
- [ClearML Pipelines](../../pipelines/pipelines.md) ensure that steps run in the same order,
programmatically chaining tasks together, while giving an overview of the execution pipeline's status.
**Your entire environment should magically be able to run on any machine, without you working hard.**

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docs/getting_started/ds/ds_second_steps.md
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@@ -176,7 +176,7 @@ or check these pages out:
- Scale you work and deploy [ClearML Agents](../../clearml_agent.md)
- Develop on remote machines with [ClearML Session](../../apps/clearml_session.md)
- Structure your work and put it into [Pipelines](../../fundamentals/pipelines.md)
- Structure your work and put it into [Pipelines](../../pipelines/pipelines.md)
- Improve your experiments with [HyperParameter Optimization](../../fundamentals/hpo.md)
- Check out ClearML's integrations to [external libraries](../../integrations/libraries.md).