PyCodeIt
#1 Python & SQL Dry Run & Trace Table Sandbox
What it does
Practice Python code tracing and SQL queries. Master dry-runs and output prediction with step-by-step guidance.
Master Python dry-runs and trace tables line by line, or write and verify SQL queries against live in-browser databases. Built specifically for technical phone screens and coding assessments. Analyze and dry-run decorators, mutable defaults, variable scopes, closures, and loops to predict console stdout. Write queries and check executions against HR, E-Commerce, and Competition database tables in real-time. Visualize call stacks and memoization techniques for interview-ready recursion. Detect when variables share objects and avoid mutable surprises in production. Ten high-value trace puzzles with concise answers to practice daily. Run Python trace problems and SQL queries without installing…from pycodeit.com
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My name is Weston Goodwin. I created a tool called SQL Simulator which allows you to do Dry Runs with your SQL Scripts. The reason I created the tool was because I wanted to verify that my SQL scripts did what I thought they would do without executing them against the database. It is similar in concept to Redgate SQL Clone or Windocs. If you are not familiar with these tools they make clones of your database. The key difference with SQL Simulator is, it only makes a clone of the database objects affected by your sql script, not the entire database. Nor does it copy the entire table (if your…
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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