Overview

High-Performance R: Profiling, Parallelism, and C++ Extensions with Rcpp Core Promise: High-Performance R shows you how to transform sluggish analyses into lightning-fast workflows. By mastering profiling tools, parallel computing, and C++ extensions via Rcpp, you'll pinpoint bottlenecks and deliver production-grade performance-without abandoning the R ecosystem you love. Key Learnings & Benefits: Learn to profile R code with profvis and flamegraphs, turning execution data into clear optimization targets. Apply microbenchmarking and automated tests to measure improvements objectively. Harness all your CPU cores using parallel, foreach, and future, then scale to clusters with minimal changes. Integrate C++ extensions seamlessly: use Rcpp to rewrite critical loops, employ RcppParallel and RcppThread for thread-safe speedups, and maintain responsiveness to user interrupts. Package and deploy high-speed R services: containerize with Docker, set up continuous integration pipelines, and expose APIs via plumber or FastAPI for real-world applications. Each chapter combines a concise concept overview, ready-to-run code snippets, and step-by-step explanations-so you can copy, paste, and run immediately. Whether you're an analyst racing deadlines or a package maintainer aiming for peak efficiency, this book equips you with battle-tested techniques straight from the author's toolkit. Supercharge your R projects-grab your copy of High-Performance R today and turn slow scripts into high-speed solutions.

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