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ljvmiranda

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I build things

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Matplotlib 3 years ago

I'm moving the opposite direction: Altair -> Plotly. I find altair to be too "grammar of graphics" for its own good. And the vega backend makes it hard to hack around. Saving to pdf or high-quality also takes extra steps with additional dependencies.

Highly recommend playing Pentiment. Good mystery adventure set in the backdrop of medieval Bavaria. Large part of the story happens in a monastery (and the surrounding town).

The gap between tree-based models and deep learning becomes narrower as the dataset size increases (here: 10k -> 50k).

I am curious if there is a sample threshold where it's worth exploring deep learning approaches to tabular data. I wonder if there are other considerations (e.g., inference speed, explainability, etc.).

Hi runjake, author here!

Not sure what you meant by the Twitter feed? Doing this since 2017 and it's still fun so far! Hope that helps :)

My daily driver (Lamy 2000) has a piston converter and I find its capacity quite large, i.e., I need to refill it every week or so.

Cartridges are great too, but I seem stuck with a few options. Lany cartridges are great but it's the only decent one I can find here.

Yeah I can imagine this a bit useful when writing literature reviews. I type a sentence then a sidebar on the right suggests papers from your Zotero pile, Google Scholar, etc.

Of course writing literature reviews is often a long process: collect-scan-read-synthesize-write. But sadly a copilot run system may override steps 2,3,4.

At first I thought Artificial Life (ALife) here is about cellular automata, soft robotics, etc. Turns out it's not...or is it?

I am curious to know if ALife is actually heading into the territory mentioned by this article.

How will this affect the MLOps Community Webinars? Afaik dotscience plays a big role supporting it.

It’s a good and vibrant community, and I’m learning a lot from the webinars as a practitioner. It’d be sad to see if it goes as well

Where are you basing these claims? I do pixel art, and dithering + anti-aliasing are one of the fundamental techniques in this medium. It’s widely-employed that there are so many beginner tutorials that teach these methods (I highly recommend MortMort’s channel, for example).

Also, I invite you to look at the Pixel Dailies twitter handle (and the #PixelDailies hashtag), you’ll see the works of several pixel artists and you’ll notice that dithering and anti-aliasing are common patterns.

Hi, author here! Pleasantly surprised I saw this on HN, thanks for posting feross! Sorry for the Mcdonalds analogy, it's just that it's really near our office and I got that insight while ordering McNuggets! Didn't expect it will cause some divide

Agree, Mcdonalds has definitely upped their ordering game recently. Thank you and I appreciate all the helpful comments!

I once wrote a survey of tools within the Jupyter Notebook ecosystem: https://ljvmiranda921.github.io/notebook/2020/03/16/jupyter-... (it’s a three part series and that link is Part 2).

The topic of production notebooks often shows up. I’ve seen tools like papermill and dagster being used for notebook prod, just like in Netflix.

I concluded that using notebooks for prod is always a tech decision, often influence by a tradeoff: risk for premature optimization (writing scripts early on in the project that may only be used once) and underengineering (using non-maintainable and clunky code to support mission-critical workloads): https://ljvmiranda921.github.io/notebook/2020/03/16/jupyter-...

Hi everyone! Here's a fun web-app that I made to generate random sprites using Cellular Automata. For this, I used Seagull (https://github.com/ljvmiranda921/seagull), a Python library for Conway's game of life, and streamlit!

Cellular automatons are interesting creatures, using a discrete mathematical model, you can approximately simulate artificial life. Use this web-app to control reproduction and stasis rates, then observe how your sprites will transform!

Hi everyone,

I just want to share burnout-barometer, a simple open-source tool that I use to track my mood throughout the day. You can find the link here: https://github.com/ljvmiranda921/burnout-barometer

It also fetches the latest tweets from tinycarebot, and gives some random encouragement through the week!

To be honest, it's still a work-in-progress, but I've been dogfooding it for the past few weeks and it has helped me be mindful a lot. Hope you find some interest in this work!

Let me know if you have any questions!