In this section, you’ll learn how to use the basic building blocks of Flyte using flytekit. flytekit is a python SDK for developing flyte workflows and task and can be used generally, whenever stateful computation is desirable. flytekit-developed workflows and tasks are completely runnable locally, unless they need some advanced backend functionality like starting a distributed spark cluster.

In this section we’ll take a look at how to write flyte tasks, compose them together to form a workflow, and then read, manipulate and cache data.

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