#ChatGPT, #Pytorch 2.0 and #PyDataGlobal and a lot more highlights from last week.

Check out everything at https://pedromadruga.com/newsletter/

#datascience #machinelearning #ai #newsletter

There were a lot of great talks today at #pydataglobal
One highlight was "Discrete Event Simulation using Simpy" where Lara Kattan walked us through some theory behind discrete event simulation, then led a hands-on coding session using SimPy.
Example notebook here:
https://github.com/larakattan/intro_to_simpy

The basic idea of #SyntheticControl for #causalinference is actually really simple.

Find out more in my #pydataglobal talk tomorrow
https://global2022.pydata.org/cfp/talk/FQBSP8/

Today I'm testing #Jupyter #notebooks on #VSCode for real during @crazy4pi314 workshop at #PyDataGlobal and to be honest I'm getting a bit grumpy.

- Selecting the kernel didn't allow me to introduce a custom path, I had to open a Python file, add an interpreter there, and then use that as a kernel
- The autocomplete makes no sense if ipykernel is not installed, why not show that before trying to use it? (see GIF)
- Some shortcuts, like `dd` to delete cells, don't work

Not a great DX.

Almost ready to start at #pydataglobal talking about #vscode #jupyternotebooks 💖
https://aka.ms/pydataglobal

Attending my first #PyDataGlobal talk of the day. Prepared to be confused by Simpson's Paradox. 🐍

Slides of my #Polars talk at #PyDataGlobal: https://github.com/astrojuanlu/talk-polars

Thanks everyone for the lively Q&A session! 🔥

Virtually attending PyData Global 2022 conference for the next three days. One hour in and I've already learned something new :) Let's go!

#pydata #pydataglobal #pydataglobal2022 #python #datascience

In one hour I will be giving a talk about #Polars, my new favourite #Python #dataframe library! Join me at #PyDataGlobal:

https://pydata.org/global2022

💥Announcing CausalPy💥 A Python package for #Bayesian #causalinference in quasi-experiments.

We support Bayesian models with #pymc, but if you were feeling a bit strange you can also use the traditional OLS approach with scikit-learn models.

Find out more in our release announcement https://www.pymc-labs.io/blog-posts/causalpy-a-new-package-for-bayesian-causal-inference-for-quasi-experiments/ and in my #pydataglobal talk on Dec 3rd https://global2022.pydata.org/cfp/talk/FQBSP8/

While reading through the schedule of #PyDataGlobal I came across this really cool demo for a tool called ipyvizzu-story that adds animation to data visualization: https://vizzuhq.github.io/ipyvizzu-story/examples/complex/complex.html. The data being plotted is the share of different sectors within the U.S.'s government research and defense budget across time.

[What-if? Causal reasoning meets Bayesian inference] Talk accepted at #pydataglobal ! This will be my first talk as a professional data scientist with #pymc_labs 👨🏻‍💻📈 Watch this space for a special announcement soon…