jpalmer37

@jpalmer37 source repo

5 skills
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13 hours ago last updated

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Py Data · jpalmer37 bundle
Conducting efficient data analysis in Python using pandas and polars. Use when users need to load, clean, transform, aggregate, or summarize tabular data — including CSV/Parquet/Excel ingestion, filtering, groupby, joins, window functions, and exploratory data analysis (EDA). Covers choosing between pandas and polars based on dataset size and performance requirements.

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Plotly Dash · jpalmer37 bundle
Building impactful, clean, and elegant interactive dashboards by combining Plotly figures with Dash reactivity. Use when users want to create coordinated multi-chart dashboards, cross-filtered views, figure-driven interactions (click, hover, select), or need guidance on wiring Plotly visualizations into a Dash application. Complements the standalone plotly skill by focusing on how figures live inside Dash.

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Py Plotting · jpalmer37 bundle
Creating intuitive and beautiful data visualizations in Python using Plotly and matplotlib. Use when users ask to plot, chart, graph, or visualize data — including scatter plots, line charts, bar charts, histograms, heatmaps, box plots, and more. Applies to both interactive web-ready figures (Plotly) and publication-quality static images (matplotlib).

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Py Dashboards · jpalmer37 bundle
Building clean and beautiful interactive dashboards using Python Plotly Dash. Use when users want to create a web-based dashboard, data app, or interactive analytics interface in Python — including multi-page apps, reactive callbacks, KPI cards, filters, and data tables.

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Nextflow Pipelines · jpalmer37 bundle
Create, review, and improve production-quality bioinformatics pipelines with Nextflow DSL2. Use whenever a task involves Nextflow processes, workflows, channels, nf-core conventions, containers, HPC or cloud executors, resource configuration, testing, provenance, or reproducible pipeline design.

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5 published skills