Getting Started

The following articles demonstrate installation, use, and a basic understanding of Arrow. These articles will get you setup quickly using Arrow and give you a taste of what the library is capable of. Specifically, it contains: an installation and linking guide; documentation of conventions used in the codebase and suggested for users; and tutorials, including:

  • Building Arrow arrays and tabular structures

  • Reading and writing Parquet, Arrow, and CSV files

  • Executing compute kernels on arrays

  • Reading and writing multi-file partitioned datasets

Start here to gain a basic understanding of Arrow, and move on to the User Guide to explore more specific topics and underlying concepts, or the API Reference to explore Arrow’s API.