Pyhton Helper
Learn Python step-by-step, the easy way 🚀
What it does
Python Helper makes learning Python super simple for beginners 🚀 It turns complex programming into easy, step-by-step lessons with clear examples. Unlike other apps, it focuses on practical learning with 50+ modules, 40+ cheat codes, and a clean, distraction-free experience. Perfect for students and beginners who want to start coding fast and confidently.
Does the same job
all alternatives →- APA platform for beginners to learn programming in Python2020 · github.com · ▲159
- LPLearn Python the Right Way – free introduction to Python book2021 · learnpythontherightway.com · ▲245
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Hi. I made Easylang to help beginners get started with programming. It is open source. https://github.com/chkas/easylang Why I think Easylang is for beginners better than Python. https://easylang.online/blog/easyl_pyth.html UPDATE: The posted link goes directly to the beginner tutorial. This is the start page of the IDE. https://easylang.online/ide/
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Some highlights: - 100% free and open source (https://github.com/alexmojaki/futurecoder), no ads or paid content. - No account required at any point. You can start instantly. (You can create an account if you want to save your progress online and across devices. Your email is only used for password resets) - 3 integrated debuggers can be started with one click to show what your code is doing in different ways. - Enhanced tracebacks make errors easy to understand. - Useful for anyone: You can have the above without having to look at the course. IDE mode…
More work this month
the category →
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the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com