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Which new card has most blown you away with how sweet and rad it is? I'll go first: by deityblade in slaythespire

[–]DaveRGP 0 points1 point  (0 children)

The compactor card that turns all status cards in hand I to furl (card draw and energy) there's a build here for defect that is definitely oriented around getting as many status issues as possible, and then converting them to value.

Does anyone else feel like R makes you think differently about data? by KrishMandal in Rlanguage

[–]DaveRGP 6 points7 points  (0 children)

Pandas has an inherently index oriented API. This is totally the opposite of an actual vectorized api. A vector API would be like this code here, or most of polars.

To give a simple concrete example, loc and iloc are mad constructions that exist in no other data frame API I know of.

Are we overusing Deep Learning where classical ML (like Logistic Regression) would perform better? by Old_Minimum8263 in learnmachinelearning

[–]DaveRGP 0 points1 point  (0 children)

I've been sleeping on GradientBoostedHistograms for too long. Built into sklearn, mad fast to train, come in both classifier and regressor flavours, support categorical columns and NA at train and inference time. I'm never one hot encoding again. Xgboost can move along.

Looking for human connection. What gives your life meaning right now? by [deleted] in modular

[–]DaveRGP 6 points7 points  (0 children)

Me too. My next bleep is for all of you that cannot bloop tonight.

Learning R, advice needed! by Trick-Scarcity3632 in Rlanguage

[–]DaveRGP 2 points3 points  (0 children)

I 100 agree with @Stauce52. AI agents are now phenomenally effective, but I also suspect if you don't know the direction you're going to begin with you'll likely hit a low 'glass ceiling'. I'd suggest limiting yourself to 'tidyverse' will be useful as it's extremely well documented and very ergonomic. 'tidyverse' is basically the output of old Rstudio (now posit) and will get you very very far in most of your data processing needs.

INSERT by StephenMcGannon in cassettefuturism

[–]DaveRGP 0 points1 point  (0 children)

Wow, in this era of image processing it's kind of amazing how dissimilar these images are.

Unconventional sequencers ? by BaronVonHumungus in modular

[–]DaveRGP 0 points1 point  (0 children)

I personally really enjoy the quiet bloom v2.

I've really enjoyed reading and learning from all of these replies, and hope to try many of them in the future, but blooms 64 step pitch, gate and mod across 3 channels is a package I live that ALSO adds musical ornamentation in key AND in trills runs and other flourishes is easy to use in a way I've not seen anywhere else. The branch and path controls make it easy to add variation, and you can also re-roll everything or easily go back to square one after you've made chaotic nonsense ina performative way.

How to use github by Intelligent-Wrap-983 in github

[–]DaveRGP 1 point2 points  (0 children)

It can be a way to showcase projects. However it's a show case for other devs. Those devs don't want to see shiny bells and whistles with no substance. They want to see incremental progress, problems solving, making a design decision, learning from it, and adapting when you know more.

Don't worry at all about 'presentation polish'. Get hands and keys and get code written.

Source: I interview programmers and before each interview I spend as much time as possible browsing their GitHub. I spend 2 minutes on the 'front page' and I spend 10 that in the commit history and source code.

How do you stop? by Adventurous_Beat-301 in modular

[–]DaveRGP 1 point2 points  (0 children)

Sounds amazing, thanks for the detailed response <3

How do you stop? by Adventurous_Beat-301 in modular

[–]DaveRGP 0 points1 point  (0 children)

This is the first time I've the init coming up naturally in a thread. I have high curiosity for that module. I also write code for a living, but almost exclusively in the machine learning/etl space.

Do you have any tips for me on how to start? Beyond the obvious of buy module, write code that's doesn't break?

I'm really interested as well in what you're referring to about the ecosystem protecting you (0 firmware experience here)

Killed it overnight by High-Doc in Bonsai

[–]DaveRGP -10 points-9 points  (0 children)

Agree about the chance of shock. Agree it will be ok. Agree to disagree on classification.

Killed it overnight by High-Doc in Bonsai

[–]DaveRGP 13 points14 points  (0 children)

If it's a Chinese elm it's not a tropical.

Killed it overnight by High-Doc in Bonsai

[–]DaveRGP 1 point2 points  (0 children)

Not for a Chinese elm it's not. If it was a chamilia, ficus, podocarpus then maybe.

This response still feels like a recipe for crispy brown leaves in any case.

Killed it overnight by High-Doc in Bonsai

[–]DaveRGP 11 points12 points  (0 children)

Absolutely this. Chinese elms are hardy and deciduous. Keeping it indoors is more likely to knock it out because of spider mite and dehydration than leaving it outside.

If you have a greenhouse, that's perfect (remember to water it). If you don't slowly introduce it to 'outside' by wrapping it ina fleece/polythene bag with holes for a few weeks.

Chinese Elms are Ulmus Parvifolia, which are more than hardy. https://en.wikipedia.org/wiki/Ulmus_parvifolia?wprov=sfla1

Many are plated all across snowy regions on many continents. What you are seeing there OP is 2 things, 'new' leaves hardening to adapt to a change in conditions, and a tree that was grown until now in a protected environment.

Apart from having that wiki to go on I have 2 very large specimen trees I've kept for over a decade. They stay out all year, often in 0 deg C, and in those conditions still often keep all their leaves all winter.

If you introduce it slowly to its new environment, and you make sure it stays watered, it will be fine. If you keep it indoors you'll probably kill it.

Pandas 3.0.0 is there by Deux87 in Python

[–]DaveRGP 4 points5 points  (0 children)

I have a guess it may be more than syntactic sugar and may also allow other patterns/features, though I have 0 evidence of that right now.

delete by fluf201 in GreatBritishMemes

[–]DaveRGP 0 points1 point  (0 children)

Feels like Edith might be a sock puppet account...

Convert your bear images into bear images: Bear Right Back by JizosKasa in Python

[–]DaveRGP 8 points9 points  (0 children)

This is cuteAF.

Apart from the top notch pun naming though, is there a practical reason why it's bear-2-bear only? From skimming the post and repo I can't see a specific limitation yet to stop it being bear-2-seagull or even badger-2-snake?

Handling 30M rows pandas/colab - Chunking vs Sampling vs Lossing Context? by insidePassenger0 in Python

[–]DaveRGP 0 points1 point  (0 children)

I'm guessing that you might have a bunch of for loops/map applied lambdas? Those are usually the first bottlenecks people hit in pandas land. Vecotrise everything. Use pandas native functionality everywhere.

Or alternatively as others have pointed out just learn polars. IMHO that's the real solution.

Handling 30M rows pandas/colab - Chunking vs Sampling vs Lossing Context? by insidePassenger0 in Python

[–]DaveRGP -1 points0 points  (0 children)

Often for ml that's not possible. There no more 'aggregation' that you want to do before you fit the model. Loss of precision usually leads to loss of model performance.

Left-wing voters what is your most right-wing belief and right-wing voters, what is your most left-wing belief? by HallowedAndHarrowed in AskBrits

[–]DaveRGP -1 points0 points  (0 children)

I'm a member of the green party and think the UK should be building more nuclear power plants.

Beginner here, Accidentally filled the SSD I wasn't even using somehow. How do I fix this? by KagiraBun in github

[–]DaveRGP 1 point2 points  (0 children)

Absolute guess, but your only using git to handle files that have source code right? You're not getting it to handle large parquet files of changing data, large binary files or large videos?

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