★ 0 · Updated 2026-09-22
Provides data manipulation capabilities, lazy query optimization, file I/O operations, and pandas migration patterns using Polars.
Browse skills that share this tag.
★ 0 · Updated 2026-09-22
Provides data manipulation capabilities, lazy query optimization, file I/O operations, and pandas migration patterns using Polars.
★ 0 · Updated 2026-09-16
Executes Python code in a sandboxed environment via inference.sh with pre-installed libraries for data processing, web scraping, and media generation.
★ 6 · Updated 2026-09-09
Polars is an in-memory DataFrame library featuring expression-based transformation, lazy query optimization, and multi-format data I/O.
★ 18 · Updated 2026-06-30
In-memory DataFrame library built on Apache Arrow with lazy evaluation and parallel execution for efficient data processing of 1-100GB datasets.
★ 3,789 · Updated 2026-06-30
Process FITS files, coordinates, photometry, spectra, and sky survey data
★ 0 · Updated 2026-03-09
Guide for writing code with Databricks Connect and debugging connection issues
★ 18 · Updated 2026-02-18
Design data pipelines or transformation workflows using pipes and filters paradigm
★ 3 · Updated 2026-02-17
Manipulate and transform JSON and YAML data using jq and yq command-line tools
★ 18 · Updated 2026-02-17
Manipulate JSON and YAML data using jq and yq command-line tools
★ 602 · Updated 2026-02-17
Process and manipulate JSON and YAML data using jq and yq command-line tools
★ 0 · Updated 2026-02-13
Provides operational guidance for DataFusion query engine and DeltaLake storage layer integration
★ 20 · Updated 2026-02-12
Extracts specific fields from YAML files without reading entire file contents
★ 18 · Updated 2026-02-12
Extract specific fields from YAML files using query expressions without reading entire files.
★ 6 · Updated 2026-02-12
Writes DuckDB queries for data operations and integrations
★ 602 · Updated 2026-02-12
Process JSON data through filtering, transformation, and manipulation in command line
★ 0 · Updated 2026-02-12
Process and analyze CSV data using bash command line tools
★ 18 · Updated 2026-02-11
Deduplicates events using canonical selection, reputation scoring, and hash-based grouping for multi-source data aggregation
★ 211 · Updated 2026-02-11
Deduplicate events from multiple sources with canonical selection and reputation scoring
★ 602 · Updated 2026-02-11
Remove duplicate events from multiple sources using ID-based and content-based deduplication with canonical selection
★ 0 · Updated 2026-02-11
Process CSV files using standard bash tools like awk, cut, sort, and grep
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