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PyFixest is looking for contributors 🚀
If you'd like to help build PyFixest, please reach out (DMs are open)!
Please don't worry if you've never contributed to an OSS project - I'd be super happy to onboard you to the codebase/git/OSS development, or really anything else =)
Alex Fischer retweeted
I've been working on LibrePaper, a free open source alternative to Overleaf, with lots of cool features and support for tex, typ, md, and html
It's a bit hard to describe the experience in a few characters, so I thought I'd post some videos.
Here's the first!
𝗣𝘆𝗙𝗶𝘅𝗲𝘀𝘁 𝟬.𝟳𝟬.𝟬 is on 𝗣𝘆𝗣𝗶!
When we started working on PyFixest around 4 years ago, we jokingly set the target to complete the project before the "agents would take over" and write all of the code.
Plus, a lot of internal refactoring, including some pretty advanced "hacking" around the formulaic API. Also, a wide range of minor bug fixes.
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You can find the full release notes here: pyfixest.org/changelog.html. And please make sure to check out the repos, either of pyfixest, or the within solver!
github.com/py-econometrics/p…
github.com/py-econometrics/w…
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Alex Fischer retweeted
Looks like OpenAI has already shut down Prism... 🙄
If you're looking for an alternative, check out LibrePaper!
Totally free and open source, with no gated features. Use it for free or self host.
Interact with your agent inside the app via MCP or CLI.
Link below. 1/2
Alex Fischer retweeted
Looking for an overleaf alternative? Check out LibrePaper!
It's a free writing platform for LaTeX, Typst, Markdown, and HTML.
History, comments, track changes, AI, live preview, multi editors, chat, etc. Use the main server or self-host.
Still very new, so I need feedback!
Alex Fischer retweeted
Hall Nobel is a good chance to plug BHHH [which he might consider throwaway paper] that uses the Information Matrix Equality to avoid computing a Hessian, which is the kind of laziness computers can use well. Autodiff gradients to solve mixture logit:
lalten.org/quomodoc/docs/log…
I am very excited that PyFixest 0.50.0 is on PyPi, including a new graph-based solver for demeaning that makes fixed effects estimation in PyFixest significantly faster for "sparse" fixed effects structures.
If you work on very large and very sparse fixed effects problems (worker-firm panels, doctor-patient relations, trade networks), we'd love to learn if it works for you / speeds up your regressions!
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