Results for “pandas”
17 skills
k-dense-ai Dask
Scale pandas and NumPy workflows to larger-than-memory datasets using parallel and distributed computing.
30.2k · bundle
lingxling Seaborn
Create publication-quality statistical graphics in Python with seaborn, covering relational, distribution, and categorical plots with pandas integration.
253 · bundle
google Bigquery Bigframes
Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery, for dataframe and ML workflows.
14.4k
nvidia Accelerated Computing Cudf
Accelerate pandas workflows with GPU DataFrames using cuDF and dask-cuDF for ETL, joins, groupby, and large-scale data processing.
2.2k · bundle
leandrobenjaminl Data Profiling
Profiles datasets automatically to assess data quality, structure, and completeness, generating reports with ydata-profiling, pandera, or manual pandas methods.
0 · bundle
jorcan Seaborn
Create publication-quality statistical graphics in Python with dataset-oriented plotting, semantic mapping, and automatic statistical estimation.
0 · bundle
More results
qhjqhj00 Seaborn
Create publication-quality statistical graphics in Python with dataset-oriented plotting, semantic mapping, and built-in statistical estimation.
3 · bundle
antigravity Seaborn
Create publication-quality statistical graphics from tabular datasets with minimal code, supporting multivariate analysis, statistical estimation, and complex multi-panel figures.
42.4k
k-dense-ai Seaborn
Create publication-quality statistical graphics with dataset-oriented plotting, multivariate analysis, and automatic statistical estimation using minimal code.
30.2k · bundle
k-dense-ai Geopandas
Extends pandas for geospatial vector data analysis, including reading/writing shapefiles, GeoJSON, GeoPackage, and PostGIS, performing spatial joins, geometric operations, coordinate transformations, and creating static or interactive maps.
30.2k · bundle
nimoqup046-collab Seaborn
Create publication-quality statistical graphics in Python with dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and multi-panel figures.
2
bankrbot Codegrid
Operate inside a CodeGrid pane, drive the workspace from outside, and coordinate multi-agent workflows with local IPC.
1.2k · bundle
kk20300113-png Dmux Workflows
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
0
lucaspmarie-a11y Seaborn
Create publication-quality statistical graphics using Seaborn, with dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures.
5
leandrobenjaminl Data Analyst
Guides data analysis, EDA, and ML tasks by teaching, diagnosing MCPs, and deciding with the user, offering multiple options and documenting decisions.
0
ecnu-icalk Snp
Analyzes sample phenotype and SNP genotype data to identify the best-performing homozygous genotype at each locus, excluding heterozygous and missing calls, and writes results to a CSV file.
559
k-dense-ai Medchem
Apply medicinal chemistry filters for compound triage: drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and a custom query language for library filtering.
30.2k · bundle