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  1. 1
    Pyxel: Python retro game engine draws developer attention●Show HN: Pyxel – A Python retro game engine with built-in art and sound editorsYhnEnvironmentOceans1026 min ago

    Developer kitao has released Pyxel, an open-source retro game engine for Python that includes built-in pixel art and sound editors. The tool lets creators build games in the style of classic consoles while handling graphics and audio within a single environment. The project is available on GitHub, and early reactions from programmers have been enthusiastic, with many praising its simplicity and all-in-one workflow for hobbyist game development.

  2. 2
    New Beginner Python Course Teaches Coding Through Drawing▼Show HN: Build with Python – a beginner course where your code drawsYhnLifeParenting411 h ago

    A new beginner-level programming course called Build with Python is gaining attention for teaching coding through visual drawing projects, letting newcomers see their code produce graphics. The first module, Draw with Python, is available via Scimigo. Early reaction on Hacker News is positive, with readers discussing the appeal of visual, immediate feedback as a way to keep beginners motivated while learning fundamental programming concepts.

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    Rendering publication-grade quantum diagrams on Android Termux●Tested workflow for rendering publication-grade Bloch spheres and quantum circuits on Android Termux using Matplotlib whMmastodonTechnologyMobile339 min ago

    A tested workflow is circulating for producing publication-grade Bloch spheres and quantum circuit diagrams on Android devices using Matplotlib in Termux, useful when full Qiskit wheels fail to build on ARM. It offers researchers and students a portable way to prepare figures without a desktop Python setup.

  4. 4
    The two sentences your AI agent cannot tell apart●The two sentences your agent cannot tell apart A tool in your agent calls an API. The call... # ai # python # llm # testMmastodonTechnologyAI24 h ago

    A discussion among developers highlights a subtle failure mode in AI agents: when a tool call to an API returns nothing, the agent cannot distinguish between a legitimate "nothing found" result and an actual lookup failure. The argument is that agents need explicit error signals rather than empty responses, since misreading a failed call as a valid empty result leads to confidently wrong answers. Developers building agents in Python are urged to design tool outputs that make errors unmistakable.

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