Skill · em Dados, IA e pesquisa

polars

Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.

Procedência

Antes de instalar

7 arquivos · 76,7 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/polars/.

d=".claude/skills/polars"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/polars"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/best_practices.md" "$u/references/best_practices.md" \
  -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \
  -o "$d/references/io_guide.md" "$u/references/io_guide.md" \
  -o "$d/references/operations.md" "$u/references/operations.md" \
  -o "$d/references/pandas_migration.md" "$u/references/pandas_migration.md" \
  -o "$d/references/transformations.md" "$u/references/transformations.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/polars/.

d="$HOME/.claude/skills/polars"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/polars"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/best_practices.md" "$u/references/best_practices.md" \
  -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \
  -o "$d/references/io_guide.md" "$u/references/io_guide.md" \
  -o "$d/references/operations.md" "$u/references/operations.md" \
  -o "$d/references/pandas_migration.md" "$u/references/pandas_migration.md" \
  -o "$d/references/transformations.md" "$u/references/transformations.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/polars/.

d=".agents/skills/polars"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/polars"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/best_practices.md" "$u/references/best_practices.md" \
  -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \
  -o "$d/references/io_guide.md" "$u/references/io_guide.md" \
  -o "$d/references/operations.md" "$u/references/operations.md" \
  -o "$d/references/pandas_migration.md" "$u/references/pandas_migration.md" \
  -o "$d/references/transformations.md" "$u/references/transformations.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/polars/.

d="$HOME/.agents/skills/polars"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/polars"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/best_practices.md" "$u/references/best_practices.md" \
  -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \
  -o "$d/references/io_guide.md" "$u/references/io_guide.md" \
  -o "$d/references/operations.md" "$u/references/operations.md" \
  -o "$d/references/pandas_migration.md" "$u/references/pandas_migration.md" \
  -o "$d/references/transformations.md" "$u/references/transformations.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/polars/.

d=".agents/skills/polars"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/polars"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/best_practices.md" "$u/references/best_practices.md" \
  -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \
  -o "$d/references/io_guide.md" "$u/references/io_guide.md" \
  -o "$d/references/operations.md" "$u/references/operations.md" \
  -o "$d/references/pandas_migration.md" "$u/references/pandas_migration.md" \
  -o "$d/references/transformations.md" "$u/references/transformations.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/polars/.

d="$HOME/.gemini/antigravity-cli/skills/polars"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/polars"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/best_practices.md" "$u/references/best_practices.md" \
  -o "$d/references/core_concepts.md" "$u/references/core_concepts.md" \
  -o "$d/references/io_guide.md" "$u/references/io_guide.md" \
  -o "$d/references/operations.md" "$u/references/operations.md" \
  -o "$d/references/pandas_migration.md" "$u/references/pandas_migration.md" \
  -o "$d/references/transformations.md" "$u/references/transformations.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.polars

Prévia do SKILL.md

---
name: polars
description: "Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows."
---

# Polars

## Overview

Polars is a lightning-fast DataFrame library for Python and Rust built on Apache Arrow. Work with Polars' expression-based API, lazy evaluation framework, and high-performance data manipulation capabilities for efficient data processing, pandas migration, and data pipeline optimization.

## Quick Start

### Installation and Basic Usage

Install Polars:
```python
uv pip install polars
```

Basic DataFrame creation and operations:
```python
import polars as pl

# Create DataFrame
df = pl.DataFrame({
    "name": ["Alice", "Bob", "Charlie"],
    "age": [25, 30, 35],
    "city": ["NY", "LA", "SF"]
})

# Select columns
df.select("name", "age")

# Filter rows
df.filter(pl.col("age") > 25)

# Add computed columns
df.with_columns(
    age_plus_10=pl.col("age") + 10
…

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