Coding & Software Engineering

A practical guide to dimensionality reduction using PCA. Learn how to compress high-dimensional datasets (100+ features) into 2-3 principal components without losing critical variance. Includes: mathematical intuition (covariance matrices, eigenvectors), implementation patterns (scikit-learn, TensorFlow), when to use PCA vs. other reduction techniques (t-SNE, UMAP), and production gotchas (scaling requirements, interpretation challenges). Real examples: image compression, feature engineering for faster models, visualization of complex datasets. Code snippets for training/inference pipelines.

A production-ready SVG icon library featuring 100+ clean, consistent tech logos and icons organized across 10 categories: frontend frameworks (React, Vue, Angular, Next.js), backend runtimes (Node.js, Python, Go, Java), programming languages, databases (PostgreSQL, MongoDB, MySQL, Redis), cloud providers (AWS, Google Cloud, Azure), DevOps tools (Docker, Kubernetes, Git), design tools, package managers, and AI/ML platforms. Every icon includes raw SVG code ready to copy-paste, React component examples, official color codes (hex), sizing recommendations (20px to 128px), and best practices for implementation. No dependencies. MIT licensed. Designed for developers who need consistent tech icons for landing pages, dashboards, documentation, design systems, and marketing sites without hunting across multiple sources.

Claude Code Cheat Sheet is a comprehensive, battle-tested reference guide for mastering Claude Code—Anthropic's agentic terminal coding tool. Covers installation, essential commands, CLAUDE.md setup, context management strategies, real-world workflows, model selection, security guidelines, and pro tips. Designed for developers shipping production code with AI, from installation to advanced patterns. Includes copy-paste templates, troubleshooting solutions, and the critical insights most developers learn the hard way.