tech-interview-handbook VS public-apis

We are currently following the tech interview handbook , currently on arrays and practicing sliding window technique.

Tech Interview Handbook is another resource that would be helpful.

As per title, I am looking out for good interview resources for machine learning engineer. In software side, I have heard of https://www.techinterviewhandbook.org/ to be one of the best.

For inspirations on what type of agents I should build, I turned to the Public APIs GitHub repository which has a curated lists of free APIs. I narrowed my search for an API that does not require sign-up or an API key and returns useful information. I ultimately decided to use the Free Currency Exchange Rates API, which seemed promising upon some basic testing.

✅ public-apis/public-apis : https://github.com/public-apis/public-apis

Public-Apis Github Repo — A list of free public APIs.

Interesting thread at https://github.com/public-apis/public-apis/issues/3104

Use curl to access a free public API and get a random joke, cat fact, or whatever.

I remember the forking of https://github.com/public-apis/public-apis and the long git issue discussions. The company owning the repository stopped maintaining it but didn't give up control either. Over the years you've put in a lot of work in publicapis.dev and that is much appreciated.

Also, that isn't really a list of "contributors", but of "organisations with the most stars". Those are different things.

For example "public-apis"[1] didn't "contribute" anything as that's not a person, and looking at GitHub[2] there are a bunch of substantial contributors (the person who created the organisation/repo only has 12 commits by the way);

[1]: https://opensource-heroes.com/o/public-apis

[2]: https://github.com/public-apis/public-apis/graphs/contributo...