📢PyMC Office Hours! Got questions about #bayesian stats, #modeling tips, or just want to chat? Join us on Monday, Jan 27th, for a relaxed session with the PyMC community! Everyone's welcome. 🤝 Link: 📅 Date: Jan 27, 2025 | 15:00 UTC 🕒 Duration: 1 hour

👋 Hey Open Source Enthusiasts! Join us for the PyMC Sprint at @PyData NYC 2024! We are excited to be mentoring this sprint and can’t wait to support you in making contributions to PyMC! 🗓 Event Details: Let's collaborate & learn with @NumFOCUS @PyData

RT @tomicapretto: I've been wanting to blog for a while. Today I finished this post about data simulation and parameter recovery with PyMC.…

Hanging out at the PyMC office hour right now! Drop in if you’ve got questions or just want to chat about Bayesian stuff. #PyMC #OfficeHours #ChillChat

📢 1 day to go! Tomorrow, we’ll be hosting another exciting round of office hours where you can bring all your questions about PyMC. Whether you're troubleshooting a problem, curious about Bayesian stats, or just want to hang out and chat, we're here for you. See you tomorrow!🤝

Hi PyMC community 👋 We are holding office hours next week. The office hours are open to everyone, and anyone should feel welcome to attend. 📅 𝐃𝐚𝐭𝐞: Wednesday, 16th Oct, 2024 ⏰ 𝐓𝐢𝐦𝐞: 14 UTC / 7 am PT / 10 am ET 👉 RSVP:

🔥PyMC 5.13.0 is here!🔥 - Trace too big? Use var_names to only store those you actually need. Need them later on? Use compute_deterministics() - Truncate custom distributions with CustomDist for flexible modeling ⚡ Python 3.10+ support, and more:

🚀 PyMC 5.10.4 has been officially landed on Colab! This latest version brings seamless integration of the numpyro sampler. Now, you can run blackjax and numpyro smoothly. Explore all the features and enhancements; check it out now on Colab: #PyMC

Check out this awesome playlist by @DataUmbrella to start your contribution journey to PyMC.

Hi PyMC community 👋 We are holding office hours to provide an outlet for asking questions, getting help, discussing, etc. Office hours are open to everyone, and anyone should feel welcome to attend. 📅 Sunday, 10th March ⏰ 19 UTC/ 2 pm ET 📍Zoom link:

📢 Hello PyMC users! 🚀 Wondering how to simplify sampling with discrete variables in PyMC? 🤔 We're thrilled to announce the release of our latest notebook on PyMC: "Automatic marginalization of discrete variables," authored by @zaxtax Check it out:

We had a great Q&A session with Anne and Linus. If you missed it, there is another session scheduled for 30th Jan at 06:30 UTC. Make sure to watch the recordings before it: And RSVP to the meetup event to get the Zoom link:

📢 Only a few hours to go! 🚀 Anne & Linus are going live in a few hours to discuss more about their recent talk on 𝐔𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐐𝐮𝐚𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧. Make sure to watch the recordings before it Get the Zoom links:

📢 Recently, we uploaded a talk and a tutorial on uncertainty quantification. Coming Monday, the speakers will be doing a live Q&A! Make sure to watch the recordings before it: 🔗 Register for Q&A:

📢 The UM-Bridge Tutorial is finally here! 🚀 Register for the upcoming Q&A sessions: 1. For AMER regions (29th Jan at 15:00 UTC)👉 2. For Asia regions (30th Jan at 06:30 UTC)👉 #PyMCon

📢 Solving #UncertaintyQuantification problems on realistic #models can be computationally challenging. Anne & Linus introduce UM-Bridge: an interface that provides a link between any UQ code and model #software Check out the intro video from Linus 👉

RT @twiecki: Our new @pymc_devs paper 'PyMC: a modern, and comprehensive probabilistic programming framework in Python' was one of the top…

Explore more PyMCon events at #PyMCon #python #pymc #bayesian #Statistics

📢 Join us for their upcoming PyMCon talk, "Enabling Uncertainty Quantification," and get ready for a live Q&A session on the 29th Jan (at 15:00 UTC) and 30th Jan (at 06:30 UTC), where they will delve deeper into the topic and engage with your questions.