Contributing to R
Did you always want to contribute to (base) R but don't know how? Come to our Tutorial! We will show cases where and how users have contributed actively to (base) R, by submitting bug reports with minimal reproducible examples, how testing, reading source code, and providing patches to the R source code has helped making R better. Depending on the participants willingness and level of sophistication, we will look into doing things right now, for currently non-resolved issues and bug reports.

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Bayesian modeling in R with {rstanarm}

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Working with Larger than Memory Data in R

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Build a Complete Medical Chatbot with LLMs, LangChain, Pinecone, Flask & AWS 🔥

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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

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Object Oriented Programming | OOPS in Python | OOPS Tutorial | Intellipaat

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The French Do Not Care About Work

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Mastering Clinical Data Summaries with {gtsummary} and AI

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JavaScript Tutorial For Beginners | JavaScript Training | JavaScript Course | Intellipaat

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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

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You Should Probably Map That: Introduction to Geospatial Analysis in R
![Hands-On Power BI Tutorial 📊Beginner to Pro [Full Course] ⚡](https://i.ytimg.com/vi/5X5LWcLtkzg/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDNz9Q76fnXAXaDKC50Y458IHy8OA)
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Hands-On Power BI Tutorial 📊Beginner to Pro [Full Course] ⚡
![Beginner to T-SQL [Full Course]](https://i.ytimg.com/vi/cACat4KNncg/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLA4o6xA3UzwmxwP9P-enFU9sgxi6Q)
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Beginner to T-SQL [Full Course]

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System Design Course – APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

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Col Douglas Macgregor THE WORLD BACKS IRAN in this War

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What is SonarQube | Introduction SonarQube | SonarQube Tutorial | SonarQube Basics | Intellipaat

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Something is jamming GPS over Europe. Here's what we found

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When Everyone Can Code, What’s a Quant Still For?

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R101: Introduction to R for Clinical Data

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"Simple Made Easy" - Rich Hickey (2011)

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