1. What is Qlib? Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing production.

2. How it works Qlib provides an automated quant research workflow that builds the dataset, trains models, backtests, and evaluates the results.

3. Online Serving One of the best features of Qlib is the ability to publish your strategies to production. It does this via it's Online Serving feature.

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I've never seen the Python community embrace any tool faster than they did with uv. uv is likely the best Python tool of the last few years. If you aren't using it yet, stop what you are doing and look into it. If you are already a user, check out the attached cheatsheet.

I am setting up a GitHub repo, let me write down the steps to reproduce it, some docs and I'll let you train your YOLO 😆

Finally, Python 3.14 lets you disable GIL! It's a big deal because earlier, even if you wrote multi-threaded code, Python could only run one thread at a time, giving no performance benefit. But now, Python can run your multi-threaded code in parallel. And uv fully supports it!

Exploring @karpathy Nanochat through a Knowledge Graph Love how this project combines simplicity with power. Want to navigate and understand the entire repo? Check it out here: https://www.deepgraph.co/karpa... Plus, you can connect it via MCP to any AI coding assistant and work