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<rss version="2.0"><channel><description>Data Science, open source and economics. Developing pyfixest. &#xA;&#xA;https://github.com/s3alfisc</description><link>https://bsky.app/profile/s3alfisc.bsky.social</link><title>@s3alfisc.bsky.social - Alex</title><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3mhqx2o2mfk2s</link><description>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 &#34;sparse&#34; fixed effects structures.</description><pubDate>23 Mar 2026 20:55 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3mhqx2o2mfk2s</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3mfelarocsk2q</link><description>PyFixest Sprint &#xA;&#xA;We will be doing a 3-day PyFixest sprint in two weeks - are there any features / regression-based methods widely useful to applied researchers you&#39;d like us to explore/ add?</description><pubDate>21 Feb 2026 12:01 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3mfelarocsk2q</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3mfagvpwqyk2r</link><description>@jacobtomlinson.dev has been working on sphinx llm - core idea: provide a .md file for each page of your docs. Does this really help LLMs navigate the documentation? And what about an llms.txt? If yes, what are best practices? &#xA;&#xA;https://github.com/NVIDIA/sphinx-llm</description><pubDate>19 Feb 2026 20:33 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3mfagvpwqyk2r</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3mdpodmeqrc23</link><description>Strong agree. And do read the paper! It illustrates very nicely how much thought and creativity has gone into designing fixest&#39;s API and performance optimizations which are really the two things that make fixest as great.&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>31 Jan 2026 11:05 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3mdpodmeqrc23</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3mbpbj2rjyc2h</link><description>Very flattering (and exciting!) to see that Claude Code, even though prompted to use other packages, decided that it was a good choice to fit a TWFE regression in Python via PyFixest =)&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>05 Jan 2026 20:26 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3mbpbj2rjyc2h</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3mbj7ur4nus2m</link><description>There is a new-ish Python package, moderndid, that implements almost all of the &#34;modern&#34; DiD estimators: &#xA;https://github.com/jordandeklerk/moderndid</description><pubDate>03 Jan 2026 10:40 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3mbj7ur4nus2m</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3mav42czkfc2n</link><description>TIL that `maketables` already supports regression tables via `typst`: https://py-econometrics.github.io/maketables/docs/TypstTables.html Happy holidays everyone! =)</description><pubDate>26 Dec 2025 10:39 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3mav42czkfc2n</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3maiwgymnsc2s</link><description>Btw, I think there is a great IO / market structure research question there based on GitHub data - has the incumbency effect of established OSS projects increased due to greater prominence in LLM training data?&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>21 Dec 2025 14:26 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3maiwgymnsc2s</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3maiin5ytj22y</link><description>As everyone is querying LLMs for research these days, sometimes I check PyFixest&#39;s SEO game by asking &#34;How can I estimate fixed effects regression problems in Python?&#34;. GTP: a) linearmodels b) statsmodels c) hand rolled d) call Julia / R from Python. Pf not (yet) recommended for arcane reasons.</description><pubDate>21 Dec 2025 10:19 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3maiin5ytj22y</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3maghtogtj22s</link><description>Very quick support for CausalPy @benvincent.bsky.social. Draft PR will follow in a bit&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>20 Dec 2025 15:00 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3maghtogtj22s</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3magell753c2r</link><description>`maketables` now has plug-in tooling - this means you can support maketables with your library without changing the maketables code base. This will hopefully be pretty useful for package developers, but also researchers developing their own estimators / in their own codebase.</description><pubDate>20 Dec 2025 14:01 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3magell753c2r</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3m63p7f3d6k2i</link><description>Quickly added support for @apoorvalal.com &#39;s duckreg - took approximately 60 minutes! &#xA;&#xA;https://github.com/py-econometrics/maketables/pull/7#issue-3649130723&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>20 Nov 2025 21:22 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3m63p7f3d6k2i</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3m63jypatdk27</link><description>Our py-econometrics org has a new package: `maketables` is now installable from PyPi! You can create regression tables for PyFixest, statsmodels, linearmodels, and save them as html, latex, or word. &#xA;&#xA;github: https://github.com/py-econometrics/maketables &#xA;docs: py-econometrics.github.io/maketables/</description><pubDate>20 Nov 2025 19:49 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3m63jypatdk27</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3m5jsqmqshk2x</link><description>I am very happy that 𝗣𝘆𝗙𝗶𝘅𝗲𝘀𝘁 𝟬.𝟰𝟬.𝟬/𝟬.𝟰𝟬.𝟭 is now available on PyPi! The release includes a few technical changes and exciting new features =)&#xA;https://lnkd.in/eEdzuVvq</description><pubDate>13 Nov 2025 18:37 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3m5jsqmqshk2x</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3m2aggcp3fc2p</link><description>Got a new PC and getting back to pyfixest dev is a breeze with pixi (via conda-forge, which seems to get too little love?). This just works: clone pf, install pixi, type pixi r tests in the shell, and then pixi installs Python, R, all Python and R deps, all R deps, and then starts running tests.</description><pubDate>02 Oct 2025 20:47 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3m2aggcp3fc2p</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3lwixgmct722i</link><description>Vis method for decomposition now merged to main, feedback welcome!&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>16 Aug 2025 08:32 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3lwixgmct722i</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3lwhsz4zic22m</link><description>Love to see this, of course =)&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>15 Aug 2025 21:40 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3lwhsz4zic22m</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3lv7htusecs2d</link><description>Currently revamping the default output view for the Gelbach Decomposition. Goal is to help both academics but also data scientists in industry to communicate results easily. Are the column and panel headers immediately clear? Any better way to summarize decomp results?</description><pubDate>30 Jul 2025 20:34 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3lv7htusecs2d</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3ltzktbul322i</link><description>Really awesome new formulaic feature! We&#39;ll update pyfixest to make it happen (and might get some perf improvements thanks to polars along the way).&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>15 Jul 2025 18:46 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3ltzktbul322i</guid></item><item><link>https://bsky.app/profile/s3alfisc.bsky.social/post/3ltc2oxhib22e</link><description>𝐏𝐲𝐅𝐢𝐱𝐞𝐬𝐭 0.30.1 is on 𝐏𝐲𝐏𝐢 and I am extremely happy with this release, mostly because of two 𝐧𝐞𝐰 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬: a Rust back end for all performance critical parts and quantile regression.</description><pubDate>06 Jul 2025 10:26 +0000</pubDate><guid isPermaLink="false">at://did:plc:si7hsip5ptmxdebefgrg73r3/app.bsky.feed.post/3ltc2oxhib22e</guid></item></channel></rss>