Github's down, time to find something else to do.

Want your Quarto PDFs to look as good as the analysis inside? We’re hosting a livestream this Wednesday on using Typst to design better, more professional PDFs. November 19 at 10am Pacific on YouTube. Join us live + bring your questions: buff.ly/YZ2uJbI #rstats

The coolest thing I ever discovered: Git has an alias "g" 😱

I've started working on an R package that makes it easy to write Typst markup dynamically! #rstats It's still in its early stages, but it implements: - ✅ all Typst functions - ✅ set rules - ✅ conversion from R to Typst (`NULL` becomes `none`, etc) - ✅ no dependencies github.com/y-sunflower/r2typ

I'm starting my company!! Very happy to announce Yellow Sunflower, an open-source & consulting company that focuses on data science, especially data visualization and storytelling! Learn more in the announcement blog post: ysunflower.com/blog/introducing-yellow-sunflower

The real difference between R and Python that no one talks about: emotional support I can't get enough of testthat messages 🥲

New feature available in dayplot! 📅 You can now easily add captions (and customize them) to the calendar heatmaps. Now, I think it's time for me to spend more time finding better examples. Learn more about dayplot: github.com/y-sunflower/...

New release of morethemes 😁🎨 with 2 new themes for matplotlib! These themes (try to) be more color-blind friendly, as requested by some users. If you have any ideas for themes, please don't hesitate to reach out! Browse all themes: y-sunflower.github.io/morethemes/

It's been a year since I started freelancing! So I decided to write a little blog post about the upsides and downsides. It focuses mainly on: money, workload and working conditions. barbierjoseph.com/blog/lessons...

@matplotlib.org is getting more and more interactivity! "plotjs" converts any existing matplotlib charts to an interactive, web-based version of them, with quite a lot of customization options. Try it out here: github.com/y-sunflower/... More examples: y-sunflower.github.io/plotjs/

I've started working on a minimalist PoC that converts @matplotlib.org plots into interactive graphics. There are a bazillion things to do before it's something robust and stable, but I'm confident it will go somewhere. Online demo: y-sunflower.github.io/plotjs/

New #tidytuesday chart! It's all about gas prices • Highlight the overall trend rather than precise values • Use a scale-free format • Keep the design minimalist Code: github.com/JosephBARBIERDARNAL/tidytuesday/blob/main/src/2025/2025-07-01/main.py

New (small) release of pypalettes! 😁 - A create_cmap() function to easily create a colormap object - A show_cmap() function to preview the colors - Improved documentation - Minor bug fixes and internal code cleanup More info on the project repository: github.com/JosephBARBIERDARNAL/pypalettes

I'm looking for good examples of using 3d visualisation, any recommendations?

I'm having trouble finding a good code formatter for quarto (.qmd) files in VS code / Positron, any suggestions?

Is it enough to be educated to have opportunities? That's not for sure. I literally spent days with @yan-holtz.bsky.social to end up with a simple static image, but that's how dataviz is sometimes. If you want to learn how to make this type of visualisation, take a look at matplotlib-journey.com

Matplotlib is enormous—but just how big is it, really? Even other well-known tools like Altair and Plotly haven’t reached Matplotlib’s level of adoption—though they do have their own unique features that Matplotlib doesn’t offer. Code: github.com/JosephBARBIERDARNAL/anim-manim/blob/main/scene.py

My confidence in my data visualization skills over the past few years has been... interesting. By the way, I'm really curious to hear about YOUR dataviz journey! made with the @matplotlib.bsky.social plt.xkcd() tool, which is quite amusing!

@matplotlib.bsky.social is much more than just a data visualization library. This is ~100 lines of code, using numpy+matplotlib If you want to learn how to create anything with Matplotlib, the first step is to check out our new project with @yan-holtz.bsky.social: matplotlib-journey.com

Sometimes, I enjoy reinventing the wheel to suit my needs. So I ended up creating gifing—a minimalist yet customizable GIF maker for Python. Right now, it’s a simple, foundational version, but I have some cool feature ideas! repo: github.com/JosephBARBIERDARNAL/gifing