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  1. I hate keeping extensive notes of experiments. When iterating fast, it feels to break the flow. However when keeping all adjustments in mind - its only a question of time until valuable info gets lost. Therefore I build…

  2. I built Copapy as an experiment: Can Python be used for hard real-time systems? Instead of an interpreter or JIT, Copapy builds a computation graph by tracing Python code and uses a custom copy-and-patch compiler. The…

  3. Copapy is an experiment in making Python usable for hard real-time systems by removing almost everything that makes Python non-deterministic. Instead of an interpreter or JIT, Copapy builds a computation graph by…

  4. Built this Python package because I wanted to run hardware controlling ML stuff and other control algorithms directly connected to industrial I/O hardware without jumping into annoying PLC toolchains (Windows only,…

  5. Show HN: Fast Thermodynamic Calculations in Python (dlr-institute-of-future-fuels.github.io)

    I built gaspype, a Python library for fast thermodynamic calculations, like equilibrium reactions. It's lightweight, written in typed Python/Numpy, and comes with a large species database. Gaspype operates on…

  6. I've been working on Pyladoc, a Python package designed for web apps that generate data rich documents from code. It outputs HTML and LaTeX/PDF with Pandas tables and Matplotlib figures. No fancy interactive js - simple…