Skills tagged "polars"

polars-v2 - Process in-memory datasets with Polars
polars dataframe in-memory lazy-evaluation
★ 158 · Updated 2026-10-03
Process in-memory datasets with Polars using expression-based transformations, lazy evaluation, parallel execution, and Apache Arrow.
⚙ Load tabular datasets ⚙ Build lazy query plans ⚙ Transform DataFrames with expressions
polars - Fast in-memory DataFrame library based on Apache Arrow
polars dataframe etl python
★ 0 · Updated 2026-09-22
Provides data manipulation capabilities, lazy query optimization, file I/O operations, and pandas migration patterns using Polars.
⚙ Query and manipulate tabular data ⚙ Perform group aggregations ⚙ Apply window functions
hypothesis - Property-based testing with Hypothesis in Python
hypothesis property-based-testing pytest polars
★ 0 · Updated 2026-09-17
Generate test cases automatically, shrink minimal failing examples, and verify invariants using Hypothesis strategies.
⚙ Generate test data using strategies ⚙ Shrink minimal failing test examples ⚙ Execute stateful state machine tests
hypothesis - Property-Based Testing Framework for Python
testing property-based-testing hypothesis python
★ 124 · Updated 2026-09-17
Automatically generates test data, shrinks failing examples to minimal reproducible cases, and verifies invariants for Python and Polars code.
⚙ Generate test data using strategies ⚙ Shrink minimal failing test examples ⚙ Execute rule-based stateful tests
portal-synthetic-data - Generate synthetic financial data silos and catalog seeds
synthetic-data financial-silos polars faker
★ 0 · Updated 2026-09-16
Generates reproducible synthetic financial data silos with Polars and Faker, including injected anomalies, catalog entries, and user seeds.
⚙ Generate synthetic financial data silos ⚙ Inject deliberate data anomalies ⚙ Seed data catalog entries
polars - Process and manipulate tabular data efficiently with Polars.
polars dataframe python data-processing
★ 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.
⚙ Filter and transform DataFrames ⚙ Execute lazy query pipelines ⚙ Group and aggregate tabular data
statsforecast_polars_ensemble_pipeline - Univariate Time Series Forecasting Pipeline
time-series forecasting ensemble cross-validation
★ 19 · Updated 2026-05-11
Execute univariate time series forecasting pipeline using StatsForecast and Polars with cross-validation, ensemble models, and formatted output.
⚙ concatenate identifiers ⚙ rename columns ⚙ filter data