Data & Analytics

Six Sigma methodology reference — DMAIC process, statistical tools, control charts, and capability analysis. Use when running improvement projects, analyzing process variation, or preparing for Six Sigma certification.

Seaborn statistical visualization library reference. High-level Python plotting on Matplotlib. Covers scatter, line, histogram, KDE, box, violin, bar, heatmap, pairplot, regression, FacetGrid, themes, color palettes, and publication-quality export.

R-style statistical analysis powered by Python 3. Use when computing descriptive statistics, generating ASCII histograms, calculating correlation matrices, detecting missing values and outliers, or describing CSV dataset structure.

Manage investment portfolios. Use when adding positions, analyzing allocation, calculating returns, or generating rebalance advice.

Polars lightning-fast DataFrame library reference. Rust-powered, 10-100x faster than Pandas. Covers expressions, lazy evaluation with query optimization, window functions, string/date operations, group-by, joins, SQL interface, and streaming for large data.

Plotly interactive visualization library reference. Create web-based charts with hover, zoom, and animation. Covers Express API for quick plots, Graph Objects for full control, subplots, 3D scatter, maps, candlestick charts, themes, and HTML/image export.

Record double-entry bookkeeping for personal finances. Use when logging transactions, categorizing accounts, balancing ledgers, trending expenses.

Generate document outlines with TOC, chapter planning, and hierarchy management. Use when structuring documents, planning chapters, creating outlines.

Visual analysis and diagnostic tools to help machine learning model selection. ml-visualizer, python, anaconda, estimator, machine-learning, matplotlib.

A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.

Combine files, resolve conflicts, concatenate data, and deduplicate across sources. Use when merging files, resolving conflicts, deduplicating datasets.

Write journal entries, search history, and export your personal log digitally. Use when journaling thoughts, searching past entries, exporting notes.

DeFi liquidity analysis reference — AMM mechanics, Uniswap V2/V3 math, Curve StableSwap, impermanent loss calculation, and MEV protection strategies

Auto-format source code with language detection, presets, and diff preview. Use when formatting code, enforcing styles, or batch-formatting projects.

Track follower growth, detect unfollows, and analyze engagement trends. Use when monitoring counts, spotting changes, or reviewing audience demographics.

Failure mode and effects analysis tool. Use when json fmea tasks, csv fmea tasks, checking fmea status.

A curated list of practical financial machine learning tools and applications. financial machine learning, python, algorithmic-trading, cryptocurrency.

Design employee surveys with eNPS scoring and trend analysis templates. Use when creating surveys, calculating eNPS, analyzing feedback.

DuckDB in-process analytical SQL database reference. Query CSV, Parquet, JSON files directly without import. Covers window functions, QUALIFY, ASOF joins, pivoting, Pandas/Polars zero-copy integration, Apache Arrow, S3 access, and extensions.

Write daily journal entries with tagging, search, and monthly reviews. Use when journaling daily, searching entries, tagging themes.

Terminal ASCII chart toolkit. Create bar charts, sparklines, histograms, and gauges from CSV or JSON data in the terminal.

The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone wor data-analytics, clojure, analytics, bi.

Dask parallel computing reference for Python. Covers Dask DataFrame (parallel Pandas), Dask Array (parallel NumPy), Dask Delayed for custom parallelism, Dask Bag, distributed clusters, dashboard monitoring, and scaling best practices.

Analyze CSV files with stats, SVG charts, merging, and format export. Use when generating summaries, creating charts, merging CSV files.