Tag: interactive
All the articles with the tag "interactive".
TensorFlow.js vs scikit-learn in the Browser — Two Paradigms of Client-Side ML
Posted on:March 28, 2026 at 10:00 AMTensorFlow.js brings neural networks to the browser natively. scikit-learn runs via Pyodide WebAssembly. Same Iris dataset, same task — totally different philosophies. Train both client-side with no backend and compare accuracy, interpretability, and the cold-start gap.
Python vs JavaScript DataFrames in the Browser — Live Benchmarks with No Backend
Posted on:March 22, 2026 at 10:00 AMBoth Python (pandas via Pyodide WebAssembly) and JavaScript (arquero) can process DataFrames entirely in the browser. This post runs the same groupby, filter, and pivot benchmarks in both — live, client-side, no server needed — and measures the real tradeoffs.
Pathfinding Algorithms — BFS, DFS, Dijkstra and A* (Interactive)
Posted on:March 15, 2026 at 09:00 AMBFS, DFS, Dijkstra and A* explained from first principles, side by side on the same grid. Why does A* explore so few nodes? Why is DFS fast but dangerous? Paint walls, set mazes and watch them race.
Compound Interest — A Software Engineer's Mathematical Guide (Interactive)
Posted on:February 24, 2025 at 10:00 AMCompound interest from first principles: discrete vs continuous compounding, the Fisher equation for real returns, the Rule of 72, and why the difference between annual and monthly compounding matters more than most people think. All interactive.
UniswapV3 Interactive Explorer — Concentrated Liquidity, Ticks, and Capital Efficiency
Posted on:June 25, 2024 at 10:00 AMInteractive explorer for UniswapV3 concentrated liquidity: configure your price range, see capital efficiency vs V2, tick numbers, token composition, and impermanent loss exposure — all live in the browser.
UniswapV2 Interactive Simulator — Explore AMM Mechanics In Your Browser
Posted on:January 25, 2024 at 10:00 AMThree interactive apps exploring UniswapV2 mechanics: a trade simulator showing price impact and fee math in real time, the constant product x·y=k curve visualizer, and a deep dive into the actual Solidity storage variables changing with each swap.