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Rflow Blog

Tips, tutorials, and updates from the Rflow team

Claude AI

Claude Sonnet 4.5: What It Means for Data Scientists

Anthropic's latest Claude model brings unprecedented coding abilities. We explore how Rflow leverages these improvements for better R code generation.

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R 4.4

R 4.4 Release: New Features Every Data Scientist Should Know

The latest R release brings performance improvements, new pipe operators, and enhanced graphics. Here's what's new and how to use it.

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Machine Learning

Tidymodels 2.0: The Future of ML in R

The tidymodels ecosystem gets a major update with faster training, new algorithms, and better integration with modern ML frameworks.

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Quarto

Quarto 1.5: Next-Gen Scientific Publishing

Quarto continues to evolve as the successor to R Markdown. New features include better dashboards, manuscripts, and multi-language support.

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ggplot2

ggplot2 3.5: Beautiful Plots Just Got Easier

Hadley Wickham's ggplot2 receives a major update with new themes, better defaults, and improved performance for large datasets.

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AI Coding

AI-Assisted Coding: How LLMs Are Transforming Data Science

From GitHub Copilot to Claude, AI coding assistants are changing how we write code. We compare the top tools for R and Python developers.

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Arrow

Apache Arrow in R: Processing Billions of Rows

Learn how the arrow package enables lightning-fast data processing in R, handling datasets too large for memory with ease.

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Shiny

Shiny for Python: Building Data Apps in Both Languages

Posit's Shiny framework now fully supports Python. We explore how to build interactive dashboards that work with R and Python together.

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Data Ethics

Responsible AI in Data Science: Best Practices for 2025

As AI becomes central to data analysis, ethical considerations matter more than ever. A guide to responsible AI practices in your workflow.

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