Python transforms（Python 转换）¶
Python is the most full-featured language for authoring data transformations in Foundry. It includes support for batch and incremental pipelines, supports creating and sharing code libraries for reuse, and enables defining data expectations in code to ensure high quality in data pipelines. Python transforms can be configured with both single-node or multi-node compute engines.
Get started with Python transforms, or explore some of the available features:
- Python transforms and pipelines basics
- Incremental Python transforms
- Unit testing
- Working with unstructured files
- Using libraries
- Defining data expectations
- Making calls to external systems
- Python versions support in Foundry
- Choosing a compute engine
- Using Palantir-provided language models
- AIP code autocomplete
- Using media sets with Python transforms
- Virtual tables and compute pushdown
中文翻译¶
Python 转换¶
Python 是在 Foundry 中编写数据转换功能最全面的语言。它支持批处理和增量管道，支持创建和共享可复用的代码库，并允许在代码中定义数据期望(Data Expectations)，以确保数据管道的高质量。Python 转换可配置为使用单节点或多节点计算引擎。
开始使用 Python 转换，或探索以下可用功能：