A lot of people are job hunting, more than usual in tech due to layoffs.

Job hunts are stressful enough on their own, but much more so during the holidays. Unfortunately, companies' usually poor hiring comms drop to near zero this time of year, causing even more stress to job seekers

If you're hiring, PLEASE tell applicants if you won't realistically get to reviewing apps until the new year.

One little email is all it takes. It's respectful and it can reduce stress for your applicants.

So, as promised @ahl and I have found a new home for our @oxidecomputer and Friends podcast. We will be on Discord, where tomorrow we will (fittingly!) be talking with @timbray about his blog entry on leaving Twitter:

https://www.tbray.org/ongoing/When/202x/2022/11/26/Bye-Twitter

For my perspective on Tim's piece (and keying off an observation that @nova made), see my blog entry on homebrew social networking:

http://dtrace.org/blogs/bmc/2022/11/27/homebrew-social-networking/

We can't wait to talk to Tim tomorrow (5p Pacific); join us:

https://discord.com/invite/K6Td6wMN?event=1046546211760513075

Polars 0.15 is released.🐻‍❄️

Parts of the query engine are rewritten and we have seen up to 20% performance increase because of it and huge decreases of RAM usage.

Next releases will increase performance of parquet reading. 🚀

https://github.com/pola-rs/polars/releases/tag/py-0.15.1

Last week Jay Allamar interviewed me to discuss some of the tools I've been working on in the past two years.

If you haven't seen it, we discuss human-learn, doubtlab, embetter, and bulk!

Watch-able here:
https://www.youtube.com/watch?v=KRQJDLyc1uM

Big announcement!

We now have a dedicated way for you to help us cover hosting fees on Patreon: https://www.patreon.com/sigmoidsocial

See the most recent announcement and the Patreon page for more details.

As per the first goal, we only need to reach $350 per month to fully cover hosting fees!

Spending some time setting up my profile on Mastodon so here goes:

Hi I'm Eugene! I work as an applied scientist at Amazon where I design, build, and operate machine learning systems that serve customers at scale.

My interests are machine learning, engineering, recsys, python, pragmatic systems, and practices & mechanisms for effective ML teams.

Outside of work, I'm sometimes scribbling on my site eugeneyan.com.

#introduction

New blog post: How I (try to) keep up with learning in machine learning.https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/

The post is pretty meaty but the tl;dr is:

1. Learn broadly
2. Then narrow your focus and learn deeply
3. Don’t be afraid to use multiple resources to learn the same concept from different angles
4. Do projects to reinforce your learning