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## [VSCode on iPad with Blink](https://docs.blink.sh/advanced/code)

This is one of the best implementations of VSCode on the iPad. I found this by accident, by trying to open up a GitHub Codespace in Safari — instead, Blink opened up! For the most part, the experience is seamless. I get the advantages of iOS, which is focus on a single app, while still getting a full VSCode experience, complete with a working Jupyter notebook extension!

## [Open Source Go links!](https://trot.to/#/)

We recently got go-links at work, which are super handy! In a world where everything is a addressable with a URL, getting a deep link directly to a resource makes keeping direct links to specific items very handy.

## [Formal Algorithms for Transformers](https://arxiv.org/abs/2207.09238)

This is another goldmine educational resource on Transformers, released by Mary Phuong and Marcus Hutter of DeepMind. This should be another helpful resource for those who are more theory-inclined than practice-inclined.

## [Transformer Language Model Mathematical Definition](https://www.apronus.com/math/transformer-language-model-definition)

Language models are big nowadays (pun intended). For those who are mathematically inclined, here is an interesting explainer written by Michal Ryszard Wojcik, a PhD in Mathematics, under the guidance of one of the original co-authors of Attention is All You Need.

## [LovelyPlots: Matplotlib style sheets for Illustrator-editable figures](https://github.com/killiansheriff/LovelyPlots)

This is a cool repo. It provides a collection of style sheets to make matplotlib plots looks nice while still remaining editable in Adobe Illustrator. I see it as a great reference example on how to style up plots for your team, organization, and more.

## [Looking back at two years at Automattic and Tumblr](https://vickiboykis.com/2022/07/25/looking-back-at-two-years-at-automattic-and-tumblr/)

These are Vicki Boykis’ reflections on being a machine learning engineer at Automattic and Tumblr. As someone whose work necessarily straddles science and software development, a lot of her reflections are ones that resonate strongly with me. I think they’re valuable to those who want to jump into the data science world.
