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python3-data

Specialist skill for Python data engineering — pandas, polars, DuckDB, numpy, ETL pipelines, tabular data ingestion, and notebook-to-module extraction. Use when working with dataframes, data validation at ingress boundaries, merge/join operations, typed column contracts, or choosing between pandas vs polars vs DuckDB for a data task.

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Python Data

Load standards-for-python-development for the shared rules. Load python3-typing for boundary schemas. Load python3-testing for parser and edge-case tests.

Quality Checklist

  • Schema validated at first stable ingress point — not deep in transforms
  • dtype= explicit in pd.read_csv() / pd.read_excel() — never rely on inference
  • No raw pd.DataFrame crossing module boundaries without documented column contract
  • Merge/join results checked for unexpected nulls and row count changes
  • model_config = {"strict": True} on all Pydantic boundary models
  • No inplace=True — deprecated, returns None, causes silent bugs
  • Notebook logic that survived 3+ uses extracted into tested modules

Gotchas

TrapWhat to do instead
df["a"]["b"] = x (chained indexing)df.loc[:, "b"] = x — chained indexing silently fails
.apply(lambda) on large framesVectorized ops first; .apply() only when no vectorized path exists
pd.merge() without post-checkAssert no unexpected nulls or duplicate keys after merge
df.drop(..., inplace=True)df = df.drop(...) — inplace is deprecated and returns None
Bare pd.read_csv(path)Always pass dtype= to prevent silent type inference errors

Decision Table

TaskUseNot
Tabular < 1M rowspandasPolars (overhead not justified)
Tabular > 1M rows or need speedPolarspandas
SQL-like analytics on local filesDuckDBLoading everything into pandas
Read-only TOML configtomllib (stdlib, binary mode "rb")tomlkit
Read/write TOML preserving commentstomlkit (text mode)tomllib

Module Layout

etl/
├── ingest.py      # raw data loading (boundary)
├── validate.py    # schema validation (boundary)
├── transform.py   # business logic (typed core)
├── load.py        # output writing (boundary)
└── types.py       # shared typed models

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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