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I love Python, metaprogramming, and making programming easier.

My main project is futurecoder, a platform for self-learning Python for beginners. It depends on a lot of my other work on GitHub, most of which is mentioned below.

I'm an expert at extracting obscure but useful information from Python:

🐛 Debuggers:

• birdseye is a unique and powerful debugger that lets you see the value of every individual expression:

  

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• snoop is a simple convenient debugger that logs everything a function is doing:

  

  It's based on cool-RR/PySnooper for which I made many major contributions and am a collaborator.

• heartrate visualises execution in real time:

  

⚠️ Tracebacks:

• stack_data extracts data from stack frames and tracebacks, particularly to display more useful tracebacks than the default.

• I used stack_data to overhaul tracebacks in IPython, adding several fixes and enhancements. In particular stack_data uses executing (see Magic section) to highlight the precise operation which failed:

  

• stack_data is also used to show excellent beginner-friendly tracebacks in futurecoder:

  

• I added an integration for the Sentry Python client to provide more information in tracebacks in error reports. It uses my library pure_eval, which evaluates simple expressions such as attributes while guaranteeing that no potentially problematic code is executed. pure_eval is also used by stack_data.

✨ Magic:

• executing can find the exact operation being executed by a frame. This is the only library that allows doing this reliably as it is a very hard problem. Many others have tried and failed.
• I used executing to overhaul gruns/icecream and pwwang/python-varname, fixing several issues in the process. Both authors made me collaborators, and I've provided plenty of help since.
• sorcery uses executing to provide several surprising magical functions.

Other:

• I use gristlabs/asttokens in all the projects mentioned above! I've made many significant contributions to it.

• instant_api is more metaprogramming, but based on type hints. It lets you instantly create a Flask API with automatic type conversions, JSON RPC, and a Swagger UI. No other library makes this so convenient. Inspired by FastAPI.

• s3-stream-upload lets you efficiently stream large amounts of data to AWS S3 in Java.

• SunHours is a SketchUp plugin written in Ruby used by architects around the world to analyse and visualise how much sunlight hits a surface. (repo)

  

• Quiggles is an Android app written in Kotlin that lets anyone draw beautiful animated patterns with ease. Watch a quick demo (1:31). (repo)

  

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