Request for help from anyone with #rstats package development experience or knowledge of time data, especially if you've worked with .ical files before: checks failing in the {calendar} package preventing updated on CRAN and I'm not sure why 🤷 . Thanks to new contributors for reviving this package after ~5 years dev hiatus! Please spread the word @rOpenSci and anyone in this #foss for #DataScience (or at least dates) space! Details: https://github.com/ATFutures/calendar/issues/50
(1/3) I am excited to share that my course - Data Pipeline Automation with GitHub Actions Using R and Python 🚀, is now available on LinkedIn Learning!
The course provides an introduction to setting up automation with GitHub Actions with both R and Python. Throughout the course, we will use a real-life example by working with the U.S. Energy Information Administration (EIA) API for data automation. 🧵👇🏼
Excited to announce the release of {stplanr} v1.2.0, on CRAN and beyond 🎉
Key feature: new implementation of rnet_join(), allowing fast+flexible merging of route network datasets, leveraging {rsgeo} which has a fast (~1000x faster than {lwgeom}) #RustLang backend 🔥
Many people to thank for this release 🙏
It's been almost 8 years since {stplanr} v0.01 was released to support #DataScience tools for #Transportation planning. The first major use case was the Propensity to Cycle Tool 🚲 now publicly available at https://pct.bike
📣 Exciting news, everyone! 🌟 Make sure to head over to this weeks blog "What's new in R 4.4.0?" by Russ Hyde, and dive into the world of the latest R release📊🔬💻
Discover some of the amazing new features that this version has to offer! 🔍 🔭 🚀
The size of the Docker image could quickly increase during the build time. I became more mindful of the image size when I started to deploy on Github Actions. The bigger the image size, the longer the run time and the higher the runtime cost.
This is when you should consider using a multi-stage build 🚀.
STAT 447 -- aka #DataScience#Programming Methods -- is coming to a close for this term, and I am quite pleased with how we ended with a story arc: from shell via other key tools, a lot of #Rstats to ... Github Actions using shell again to tie it all together (with the Spotify example I had posted about earlier). Slides are at https://stat447.com (while other material is for Illinois students only),
The skforecast Python 🐍 library provides ML applications for time series forecasting using different regression models from the scikit-learn library. Here is a tutorial by Joaquín Amat Rodrigo and Javier Escobar Ortiz for time series forecasting with the skforecast using XGBoost, LightGBM, Scikit-learn, and CatBoost models 🚀.
Aller il est temps de respecter la coutume et de faire mon #introduction
Je suis Skunk car j'aime bien les moufettes 🦨. Homme franco-suisse de 40 ans. Pas vraiment français ni vraiment suisse mais je m'en fout j'aime mon petit bout de pays bizarre.
Contrôleur aérien et pilote privé. Je baigne dans l'aéronautique depuis mon adolescence donc forcément j'ai basculé du coté obscur de la force et bosse dans le secteur.
Je vole de moins en moins car tout coûte cher dans la vie et ayant grandi avec un IBM PS/1 à la maison je suis forcément devenu geek et gamer. Je peux donc assouvir ma soif de vol aux instruments grâce à Flight Sim et Xplane (et pas du tout car il est impossible de louer un #Airbus).
A 20 j'ai décidé réaliser mon rêve; être artiste et devenir écrivain. A 30 ans j'ai pris la décision de me sortir les doigts du fondement pour quitter mon job. A 40 ans je suis toujours dans l'aérien et n'ai que des manuscrits non réécrit ou corrigés...
Du coup, nouveau plan ! Je vais apprendre le #python et le #c++, #blender et #unrealengine. Perfectionner mes #mathématiques, faire du #datascience et écrire des #algorithmes pour devenir un gros profiteur #capitaliste qui paie son loyer en faisant du #trading. Mais surtout pour reprendre le contrôle sur mon emploi du temps et utiliser ce temps libre pour l'écriture mais aussi devenir expert #ue5, monter une entreprise dédiée à ça qui finira par faire des jeux vidéos car le #10èmeArt c'est la vie ❤️
La suite est simple: Succès, domination du monde, fêtes, abus, mst, alcoolisme, mort.
Mais bon pour l'instant je soigne ma procrastination en traînant sur le Fediverse donc ça n'avance pas beaucoup cette histoire...
🏆 Our #SwissAL-CHORD team won second place in the Open Research Data Poster Prize at the Data Science for the Sciences (DS4S) conference held on April 11-12, 2024, in Bern. 🏆
Congratulations to all the winners and participants, and a huge thank you to the organizers of the DS4S conference, Swiss Data Science Center and Universität Bern! #DS4S#DataScience