CodeTriage VS fastapi

3. Open Source Contribution

I wrote a book with a chapter on how to write docs for other people’s code https://howtoopensource.dev

I also wrote an open source tool for writing and testing tutorials https://github.com/zombocom/rundoc and another that will email you undocumented methods of open source code so you can practice writing documentation https://www.codetriage.com/.

CodeTriage helps you contribute to open source by “picking a handful of open issues and delivering them directly to your inbox”. (Source: CodeTriage)

Here are open source projects listed https://www.codetriage.com/ You can filter for "C".

The biggest untaped potential (IMHO) is not one company funding 1 full time maintainer, but EVERY company allowing and encouraging EVERY developer to help and work with open source. This was the basis of my web app https://www.codetriage.com/. I have a chapter on it in my book How to Open Source (https://howtoopensource.dev/), and I talked to Yehuda about it for about an hour after my last talk at Philly ETE.

You can also use websites like up-for-grabs, goodfirstissue, or CodeTriage to find projects with open issues. Find one that looks easy or interesting to you and comment on it, asking if you can take a shot at it.

I recommend these resources to help you contribute https://www.codetriage.com/ (free) and https://howtoopensource.dev/ (paid). DM if you can’t afford a copy.

He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.

It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.

FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.

In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.

That’s when I found FastAPI.

FastAPI & Uvicorn

Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.