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BytesAgainBytesAgain
πŸ¦€ ClawHub✦ BytesAgain

Feather

by @bytesagain1

Apache Feather/Arrow IPC format reference. V1 vs V2 format differences, pyarrow.feather read/write with compression, R arrow package integration, Arrow type...

Versionv1.0.0
Downloads307
Installs1
TERMINAL
clawhub install feather

πŸ“– About This Skill


name: "feather" version: "1.0.0" description: "Apache Feather/Arrow IPC format reference. V1 vs V2 format differences, pyarrow.feather read/write with compression, R arrow package integration, Arrow type system, Feather vs Parquet benchmarks, pandas DataFrame caching, LZ4/ZSTD compression options, and pipeline best practices." author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [feather, arrow, ipc, columnar, pandas, dataframe, data] category: "data"

Feather

Apache Feather/Arrow IPC format reference β€” fast columnar DataFrame I/O.

Commands

| Command | Description | |---------|-------------| | intro | Feather overview, V1 vs V2, key properties | | python | pyarrow.feather read/write, benchmarks | | r-lang | R arrow package, Python↔R interop | | schema | Arrow types, nested types, metadata | | vs-parquet | Speed vs compression tradeoffs | | pandas | pd.read_feather, caching patterns | | compression | LZ4/ZSTD options, when to use each | | best-practices | Pipeline patterns, file size guidelines |