While it is good to have plotnine for python but ggplot2 in R has this whole ecosystem of packages/extensions that augment the ggplot2 such as ggalluvial, ggrepel. More at this link https://exts.ggplot2.tidyverse.org/gallery/
This would make it really compelling to tip my toes in the Python world. Regardless, I am liking this "ggplotification" of python. All we need is more "tidification" of Python data frame world.
I find Swiss system to be very convenient. My recent visit to the country was smooth thanks to the SBB app. It works not just for rail but also for bus, trams, and ferry. I think even some cable cars are covered. Plus there it can provide discounts or free visits to selected museums.
One of my favorite product, it just works in the background. I do not need any more features than what it has currently. None of the competitors have this ability to just blend in the background.
I hope they stay for a long time.
I wonder how Mojo ranks along with Julia. Mojo was discussed yesterday here. Mojo seems to be more python focused while Julia is very much focused on Scientific computation. I may be wrong.
@onethumb Is it possible that Flickr will be integrated into SmugMug eventually or it will remain as its own branch? I know it is difficult to say for sure but some direction for near future?
I think I like about Flickr is the add a note feature. Not sure if other platforms has any similar feature but I find it helpful for me to add note on part on the photo for future reference such as place or anything peculiar.
Will this ever integrate rest of the ggplot2 dependent packages described here: https://exts.ggplot2.tidyverse.org/gallery/ in the near or distant future? Sorry if it already mentioned somewhere.
There was also Tiny Firewall which got bought by Computer Associates around 2005. Probably the most complicated or fine grain control for me at that time in Windows XP.
Apple Music is ok but it is not as good on MacOS as it is on iOS. It will skip some songs sometimes and the ui is not very consistent for the player bar.
It looks nice but very "LLMsy". I liked that it specifically annotates "Lytic" vs "Lysogenic" categorization for phages. Important in terms of virome analysis.
https://pmc.ncbi.nlm.nih.gov/articles/PMC11097211/
Wordle, Connections, Spelling Bee, and Pips (All modes) for me. Wordle is fun but Pips is very satisfying. Pips medium can sometimes be more difficult than hard one.
I agree with this. We are much missing these forums with civil replies and clouded behind "influencer" culture, which is optimized for incentives. Pure discussions as in this example are such a stalwarts of open web.
On the other hand, small websites and forums can disappear but that openness allows platform like archive.org to capture and "fossilize" them.
May be that Python 2 to Python 3 migration was holding it back but it is remarkable that it shows positive strides or was relatively stable even within that transition period.
https://www.tiobe.com/tiobe-index/python/
"Development is the execution of a map toward a goal while research is the pursuit of a goal without a map".
If there is something I can take from this post, it will be this quote.
Have error messages improved? I remember trying it few years back but the error messages made it hard to debug. Is it due to use of JVM? Sorry for my lack of knowledge since I rarely program in JVM based languages.
I use R a lot but I still prefer Javascript libraries for interactivity. Javascript libraries feels lot more smoother than something like webR. Having said that, it is impressive that R is able to transcend in the interactivity with just internet browser.
Classical stats is still bread and butter for lot of smallish dataset in clinical datasets.
It is hard to do machine learning or even regression on some very preliminary data. Metadata is tough to collect and harmonize so it becomes hard to integrate specially with human studies with rare diseases.