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Data & Analytics · Polars

27 skills found.
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1

Best practices for polars data processing with dataframely. An agent skill from Quantco/dataframely.

Quantco/dataframely619—~2.4kAutomated safety check: PassBSD-3-Clauseyesterday
2

Agentforce session tracing extraction and analysis. An agent skill from Jaganpro/sf-skills.

Jaganpro/sf-skills424—~1.8kAutomated safety check: PassMIT5 mo ago
3

Queries the data warehouse with SQL and answers business questions about data.

astronomer/agents451—~1.3kAutomated safety check: PassApache-2.03 days ago
4

Maps Flowfile's core, worker, frontend, kernel, scheduler and shared services and the design contracts between them, for onboarding and cross-service debugging.

Edwardvaneechoud/Flowfile389—~9.9kAutomated safety check: PassMITtoday
5

Analyzes CSV, Parquet and JSON data with DuckDB, Polars, numpy and matplotlib, preferring a persistent kernel over repeated one-shot processes.

code-yeongyu/oh-my-openagent70k—~1.4kAutomated safety check: PassUnknowntoday
6

Fast DataFrame library (Apache Arrow). An agent skill from davila7/claude-code-templates.

davila7/claude-code-templates33k14 repos~2.3kAutomated safety check: PassMITtoday
7

Guide for using OptimusKG, the biomedical knowledge graph, through the optimuskg Python client.

mims-harvard/OptimusKG147—~1.9kAutomated safety check: PassMIT19 days ago
8

Explains how changes to the Flowfile monorepo are gated, versioned and released, including version sync, stub and docs drift checks, Alembic migrations and pinned dependencies.

Edwardvaneechoud/Flowfile389—~7.3kAutomated safety check: PassMITtoday
9

Runbook for closing gaps between a Flowfile visual flow's results and its exported Polars or FlowFrame Python code, measured by tests rather than by eye.

Edwardvaneechoud/Flowfile389—~7.5kAutomated safety check: PassMITtoday
10

Use Hypothesis for property-based testing to automatically generate comprehensive test cases, find edge cases, and write more robust tests with minimal example shrinking.

anam-org/metaxy124—~1.7kAutomated safety check: PassApache-2.010 days ago
11

Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries.

anam-org/metaxy124—~3.3kAutomated safety check: PassApache-2.010 days ago
12

Fast genomic interval operations (overlap, nearest, merge, coverage, cluster, complement, subtract, count-overlaps), multi-format bioinformatics I/O, DataFusion SQL, and pileup on Polars DataFrames…

ClawBio/ClawBio1.2k—~3.4kAutomated safety check: PassApache-2.0yesterday
13

Performs genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data.

K-Dense-AI/scientific-agent-skills48k1 repo~3.2kAutomated safety check: NotesApache-2.06 days ago
14

High-performance DataFrame library for Python ETL, analytics, and pandas migration.

K-Dense-AI/scientific-agent-skills48k1 repo~3.3kAutomated safety check: PassMIT6 days ago
15

Data ingestion patterns for loading data from cloud storage, APIs, files, and streaming sources into databases.

ancoleman/ai-design-components525—~1.9kAutomated safety check: PassMIT10 mo ago
16

Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow).

ancoleman/ai-design-components525—~3kAutomated safety check: PassMIT10 mo ago
17

Deep dive into flowfileframe — the Polars-LazyFrame-shaped Python API that builds an in-process flowfilecore FlowGraph as a side effect of every method call — covering the FlowFrame/Expr internals…

Edwardvaneechoud/Flowfile385—~12kAutomated safety check: PassMITyesterday
18

Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills.

probabl-ai/skills138—~796Automated safety check: PassBSD-3-Clauseyesterday
19

Python data pipelines with modular architecture. An agent skill from jamditis/claude-skills-journalism.

jamditis/claude-skills-journalism416—~4.8kAutomated safety check: PassMIT6 days ago
20

Downloads education datasets from configured mirror sources (parquet/CSV) with local Polars filtering.

brycewang-stanford/Auto-Empirical-Research-Skills4.6k—~2.8kAutomated safety check: PassUnknown5 days ago
21

Polars DataFrame library for high-performance data manipulation.

brycewang-stanford/Auto-Empirical-Research-Skills4.6k—~2.9kAutomated safety check: PassUnknown5 days ago
22
22.Svy

Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration.

brycewang-stanford/Auto-Empirical-Research-Skills4.6k—~3.4kAutomated safety check: PassUnknown5 days ago
23

R-to-Python translation for data analysis. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

brycewang-stanford/Auto-Empirical-Research-Skills4.6k—~5.5kAutomated safety check: PassUnknown5 days ago
24

Stata-to-Python translation for data analysis. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

brycewang-stanford/Auto-Empirical-Research-Skills4.6k—~6.2kAutomated safety check: PassUnknown5 days ago
25

Fast in-memory DataFrame with lazy evaluation, parallel execution, Arrow backend.

jaechang-hits/SciAgent-Skills374—~6.4kAutomated safety check: PassMIT12 days ago
26

Out-of-core DataFrame for billion-row data via lazy evaluation and memory-mapped files.

jaechang-hits/SciAgent-Skills374—~6.2kAutomated safety check: PassMIT12 days ago
27

Parallel/distributed computing for larger-than-RAM data. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills374—~4.1kAutomated safety check: PassBSD-3-Clause12 days ago