Live in 10 minutes with an intro to Dask tutorial at PyData London 🦆🦆🦆

Richard Pelgrim | 🇳🇱🇱🇧🥑🐍🧘‍♂️ about to talk about using Dask to do data science at scale. #pydatalondon

Big moment: I made my first-ever code contribution to Dask 🙌 It was an insightful, fun and (mostly 😉) smooth xp thanks to support from the wonderful Naty Clementi, Sarah Johnson and Pavithra 🌻.

Dask Demo Day this Thursday! 10am US Central Quick demos on ... 1. 2,000,000,000 lightning strikes by Kevin Tyle 2. Dask Awkward by @ Mx_ddavis 3. Dask CLI by @ Mx_ddavis 4. Profiling with PySpy by Gabe Joseph 5. XGBoost and Optuna by James Bourbeau github.com/dask/community…

Don't you just love how awkward the word awkward is? A W K W A R D

Today is my last day at Coiled. It's been an incredible journey and I'm grateful to have had the opportunity to work alongside and learn from such a talented and kind group of humans 🙏

Sliding Windows in Pandas by Richard Pelgrim | 🇳🇱🇱🇧🥑🐍🧘‍♂️ buff.ly/42NYR3b

I wrote some code that converts static (batch) datasets into simulated data streams with a mix of Apache Kafka , Upstash and Pathway (www.pathway.com). Still very much WIP, PRs welcome :) Code @ github.com/rrpelgrim/stre…

99% of LLM courses teach you how to build LangChain demos using static datasets... 🧸 But real-world LLMOps is a bit different... 🐻 Here is a real-world example with 𝗳𝘂𝗹𝗹 𝘀𝗼𝘂𝗿𝗰𝗲 𝗰𝗼𝗱𝗲 ↓